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OpenSource
NWD
Commits
17258d6c
Commit
17258d6c
authored
Mar 29, 2019
by
Andrew Cohen
Browse files
removed spare parts
parent
0bf58d85
Changes
17
Hide whitespace changes
Inline
Side-by-side
spareParts/GapSpectral.m
deleted
100644 → 0
View file @
0bf58d85
function
[
kGap
Gap
S
idx
]
=
GapSpectral
(
DistanceMatrix
,
nMaxClusters
,
bAlgorithmicInformationDistance
)
if
nargin
<
3
bAlgorithmicInformationDistance
=
1
;
end
B
=
50
;
% size of Monte Carlo distribution
if
nMaxClusters
>
size
(
DistanceMatrix
,
1
)
nMaxClusters
=
size
(
DistanceMatrix
,
1
)
-
1
;
end
D
=
Regularize
(
DistanceMatrix
);
bound
=
D
;
for
i
=
1
:
size
(
bound
,
1
)
bound
(
i
,
i
)
=
NaN
;
end
a
=
min
(
min
(
bound
));
%;
b
=
max
(
max
(
bound
));
UV
=
a
+
(
b
-
a
)
*
rand
(
size
(
D
,
1
),
size
(
D
,
2
),
B
);
% uniform distribution
for
k
=
1
:
nMaxClusters
if
(
1
==
k
)
%
% one happy cluster
idx
=
ones
(
size
(
D
,
1
),
1
);
else
idx
=
SpectralCluster
(
D
,
k
);
end
W
(
k
)
=
WkSpectral
(
k
,
idx
,
D
);
for
ib
=
1
:
B
uni
=
UV
(:,:,
ib
);
uni
=
Regularize
(
uni
);
% make uni a valid distance matrix
if
(
1
==
k
)
%
% one happy cluster
idx
=
ones
(
size
(
D
,
1
),
1
);
else
idx
=
SpectralCluster
(
uni
,
k
);
end
Wb
(
ib
,
k
)
=
WkSpectral
(
k
,
idx
,
uni
);;
end
Wkb
=
Wb
(:,
k
);
lkb
=
log
(
Wkb
);
if
bAlgorithmicInformationDistance
Gap
(
k
)
=
1
/
B
*
sum
(
Wkb
)
-
W
(
k
);
sdk
=
std
(
Wkb
,
1
);
else
Gap
(
k
)
=
1
/
B
*
sum
(
lkb
)
-
log
(
W
(
k
));
sdk
=
std
(
lkb
,
1
);
end
S
(
k
)
=
sdk
*
sqrt
(
1
+
1
/
B
);
% Gap
% S
end
% figure
% errorbar( [1:nMaxClusters],Gap,S)
% set(gca,'XTick',[1:nMaxClusters])
k
=
1
;
while
((
k
<
nMaxClusters
)
&&
(
Gap
(
k
)
<
Gap
(
k
+
1
)
-
S
(
k
+
1
)))
k
=
k
+
1
;
end
kGap
=
k
;
if
(
kGap
>
1
)
idx
=
SpectralCluster
(
D
,
kGap
);
else
idx
=
ones
(
size
(
D
,
1
),
1
);
end
spareParts/GetCount.m
deleted
100644 → 0
View file @
0bf58d85
function
f
=
GetCount
(
words
,
strServer
)
if
~
exist
(
'strServer'
,
'var'
)
strServer
=
'wikipedia'
end
term
=
[
words
{
1
}
];
for
i
=
2
:
length
(
words
)
term
=
[
term
'+'
words
{
i
}];
end
idx
=
strfind
(
term
,
' '
);
term
(
idx
)
=
'+'
;
if
strcmp
(
strServer
,
'pubmed'
)
f
=
Count
.
pubmed
(
term
);
elseif
strcmp
(
strServer
,
'amazon'
)
f
=
doQueryAmazon
(
term
);
elseif
strcmp
(
strServer
,
'google'
)
f
=
GetCountGoogle
(
term
);
elseif
strcmp
(
strServer
,
'reddit'
)
f
=
Count
.
reddit
(
term
);
else
f
=
Count
.
wikipedia
(
term
);
end
% f=max(f,1); % no zero counts - sends nwd to NaN
f
=
f
+
1
;
end
% amazon no longer returning search totals as of 1/2019...
% function f=doQueryAmazon(term)
%
% URL=['http://www.amazon.com/s/ref=nb_sb_noss?url=search-alias%3Daps&field-keywords=' term '&rh=i%3Aaps%2Ck%3A' term];
% for i=1:5
%
% str = urlread(URL);
% try
% %amazon
% idx=strfind(str,'results for <span>');
% idx=idx(1)-2;
% idxStart=idx;
% chPrev = str(idxStart-1);
% while(isNumeric(chPrev))
% idxStart=idxStart-1;
% chPrev = str(idxStart-1);
% end
% nx=str(idxStart:idx);
% f=str2double(nx);
% break;
% catch
% f=0;
% pause(1);
% end
% end
%
% end
spareParts/GetSynthesizedCount.m
deleted
100644 → 0
View file @
0bf58d85
function
fX
=
GetSynthesizedCount
(
words
)
k
=
length
(
words
);
fX
=
0
;
for
i
=
1
:
2
^
k
-
1
binary
=
decimalToBinaryVector
(
i
,
k
,
'LSBFirst'
);
idx
=
find
(
binary
);
if
0
==
mod
(
length
(
idx
),
2
)
bAdd
=-
1
;
% fprintf('-');
else
bAdd
=
1
;
% fprintf('+')
end
% fprintf('%s',mat2str(idx));
fX
=
fX
+
bAdd
*
GetCount
(
words
(
idx
),
0
);
end
% fprintf('\n');
spareParts/Regularize.m
deleted
100644 → 0
View file @
0bf58d85
function
[
D
,
degenerate
]
=
Regularize
(
DistanceMatrix
)
% turn output from NCD into well behaved distance matrix
D
=
DistanceMatrix
;
% b = max(max(D));
% D=D/b;
for
i
=
1
:
size
(
D
,
1
)
for
j
=
1
:
i
-
1
D
(
i
,
j
)
=
D
(
j
,
i
);
end
D
(
i
,
i
)
=
0
;
end
bound
=
D
;
for
i
=
1
:
size
(
bound
,
1
)
bound
(
i
,
i
)
=
NaN
;
end
a
=
min
(
min
(
bound
));
if
0
==
a
degenerate
=
1
;
else
degenerate
=
0
;
end
spareParts/WkSpectral.m
deleted
100644 → 0
View file @
0bf58d85
function
w
=
WkSpectral
(
k
,
idx
,
DistanceMatrix
)
% called by GapSpectral
for
r
=
1
:
k
% find points in cluster r
pr
=
find
(
idx
==
r
);
D
(
r
)
=
0
;
for
i
=
1
:
size
(
pr
,
1
)
for
j
=
i
:
size
(
pr
,
1
)
D
(
r
)
=
D
(
r
)
+
DistanceMatrix
(
pr
(
i
),
pr
(
j
));
end
end
D
(
r
)
=
D
(
r
)/(
2
*
size
(
pr
,
1
));
%(2) in paper
end
w
=
sum
(
D
);
spareParts/goAmazon.m
deleted
100644 → 0
View file @
0bf58d85
tic
% goNWD
%
%
global
strServer
strServer
=
'amazon'
global
QueryCache
if
isempty
(
QueryCache
)
QueryCache
.
Queries
=
{};
QueryCache
.
Count
=
[];
end
global
nQueryCount
nCacheCount
nQueryCount
=
0
;
nCacheCount
=
0
;
words1
=
{
'Macbeth'
,
'The Tempest'
,
'Othello'
,
'King Lear'
,
'Hamlet'
...
'The Merchant of Venice'
,
'A Midsummer Nights Dream'
,
...
'Much Ado About Nothing'
,
'Taming of the Shrew'
,
'Twelfth Night'
}
words2
=
{
'Carrie'
,
'Salems Lot'
,
'The Shining'
,
'The Stand'
,
'The Dead Zone'
,
...
'Firestarter'
,
'Cujo'
}
words3
=
{
'Adventures of Huckleberry Finn'
,
'A Connecticut Yankee in King Arthurs Court'
,
'Life on the Mississippi'
...
'Puddnhead Wilson'
}
words4
=
{
'The Old Man and The Sea'
,
'The Sun Also Rises'
,
'For Whom the Bell Tolls'
,
'A Farewell To Arms'
}
words5
=
{
'Anna Karenina'
,
'War and Peace'
,
'The Death of Ivan Ilyich'
}
idxKey
=
[
ones
(
1
,
length
(
words1
))
2
*
ones
(
1
,
length
(
words2
))
3
*
ones
(
1
,
length
(
words3
))
4
*
ones
(
1
,
length
(
words4
))
5
*
ones
(
1
,
length
(
words5
))]
GetCount
(
words1
)
GetCount
(
words2
)
%
[
d
]
=
GetDistances
([
words1
,
words2
,
words3
,
words4
,
words5
],
idxKey
);
idx
=
getDistancesPairs
([
words1
,
words2
,
words3
,
words4
,
words5
],
idxKey
);
spareParts/goNWD.m
deleted
100644 → 0
View file @
0bf58d85
tic
% goNWD
%
%
strServer
=
'wikipedia'
words1
=
{
'red'
,
'orange'
,
'yellow'
,
'green'
,
'blue'
,
'indigo'
}
words2
=
{
'lion'
,
'tiger'
,
'bear'
,
'monkey'
,
'zebra'
,
'elephant'
,
'aardvark'
,
'lamb'
,
'fox'
,
'ape'
,
'dog'
}
idxKey
=
[
ones
(
1
,
length
(
words1
))
2
*
ones
(
1
,
length
(
words2
))]
d
=
GetDistances
([
words1
,
words2
],
idxKey
);
idx
=
getDistancesPairs
([
words1
,
words2
],
idxKey
);
words1
=
{
'red'
,
'orange'
,
'yellow'
,
'green'
,
'blue'
,
'indigo'
,
'violet'
,
'purple'
,
'cyan'
,
'white'
}
words2
=
{
'square'
,
'circle'
,
'rectangle'
,
'ellipse'
,
'triangle'
,
'rhombus'
}
idxKey
=
[
ones
(
1
,
length
(
words1
))
2
*
ones
(
1
,
length
(
words2
))]
d
=
GetDistances
([
words1
,
words2
],
idxKey
);
idx
=
getDistancesPairs
([
words1
,
words2
],
idxKey
);
words1
=
{
'Barack Obama'
,
'Hillary Clinton'
,
'John Edwards'
,
'Joe Biden'
,
'Chris Dodd'
,
'Mike Gravel'
}
words2
=
{
'John McCain'
,
'Mitt Romney'
,
'Mike Huckabee'
,
'Ron Paul'
,
'Fred Thompson'
,
'Alan Keyes'
}
idxKey
=
[
ones
(
1
,
length
(
words1
))
2
*
ones
(
1
,
length
(
words2
))]
d
=
GetDistances
([
words1
,
words2
],
idxKey
);
idx
=
getDistancesPairs
([
words1
,
words2
],
idxKey
);
%
% words1={'Labidochromis caeruleus','Sciaenochromis fryeri','Betta splendens','Carassius auratus','Melanochromis cyaneorhabdos'}
% words2={'Ecsenius bicolor','Pictichromis paccagnellae','Amphiprion ocellaris ','Paracanthurus hepatus','Chromis viridis'}
% [d1,d2]=GetDistances(words1,words2);
% idx=getDistancesPairs(words1,words2);
toc
spareParts/goPubMed.m
deleted
100644 → 0
View file @
0bf58d85
global
strServer
strServer
=
'pubmed'
%http://www.nature.com/nature/journal/v511/n7510/full/nature13595.html
% supp table 2, in ranked order
shizophrenia
=
{
'rs1702294'
,
'rs11191419'
,
'rs2007044'
,
'rs4129585'
,
...
'rs35518360'
};
% http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3250464/
% table 1
leukemia
=
{
'rs17483466'
,
'rs13397985'
,
'rs757978'
,
'rs2456449'
,
'rs735665'
,
...
'rs783540'
,
'rs305061'
,
'rs391525'
,
'rs1036935'
,
'rs11083846'
};
%alzheimers
% http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3365264/
% table 1
% http://www.nature.com/tp/journal/v2/n5/fig_tab/tp201245t1.html#figure-title
alzheimers
=
{
'rs4420638'
,
'rs7561528'
,
'rs17817600'
,
'rs3748140'
,
'rs12808148'
,
'rs6856768'
,
'rs11738335'
,
'rs1357692'
};
% obesity
% http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2858696/
% table 1
obesity
=
{
'rs10926984'
,
'rs12145833'
,
'rs2783963'
,
'rs11127485'
,
'rs17150703'
,
'rs13278851'
};
%
% % neuroblastoma
% % http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3716226/
% % table 3
% neuroblastoma={'rs6939340','rs4712653','rs6435862','rs3768716','rs7585356'};
% neuroblastoma 2
% http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2742373/table/T1/
neuroblastoma
=
{
'rs6939340'
,
'rs4712653'
,
'rs9295536'
,
'rs3790171'
,
'rs7272481'
};
% parkinsons
% http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3305333/
% table 2, rs entries, by pvalue
% now trying http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3852568/table/tbl03/
% p<.1% in 2/3
% parkinsons={'rs356219','rs10847864','rs1491942','rs947211','rs2390669'}
parkinsons
=
{
'rs356219'
,
'rs10847864'
,
'rs2942168'
,
'rs11724635'
}
% http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3839234/
% http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3839234/table/T1/
als
=
{
'rs2303565'
,
'rs1344642'
,
'rs2814707'
,
'rs3849942'
,
'rs2453556'
,
'rs1971791'
,
'rs8056742'
};
words
=
{
alzheimers
;
parkinsons
;
als
;
shizophrenia
;
leukemia
;
obesity
;
neuroblastoma
}
global
QueryCache
if
isempty
(
QueryCache
)
QueryCache
.
Queries
=
{};
QueryCache
.
Count
=
[];
end
global
nQueryCount
nCacheCount
nQueryCount
=
0
;
nCacheCount
=
0
;
d
=
[];
for
i
=
1
:
length
(
words
)
for
j
=
1
:
length
(
words
)
d
(
i
,
j
)
=
NWD
(
[
words
{
i
},
words
{
j
}]);
end
end
dx
=
[];
for
i
=
1
:
length
(
words
)
for
j
=
1
:
length
(
words
)
dx
(
i
,
j
)
=
d
(
i
,
j
)
-
d
(
i
,
i
);
end
end
xlswrite
(
'rr.xls'
,[
d
dx
])
spareParts/goTypical.m
deleted
100644 → 0
View file @
0bf58d85
path
(
path
,
'..\Gap'
)
% goTypical
global
QueryCache
if
isempty
(
QueryCache
)
QueryCache
.
Queries
=
{};
QueryCache
.
Count
=
[];
end
global
nQueryCount
nCacheCount
nQueryCount
=
0
;
nCacheCount
=
0
;
% words1={'red','orange','yellow','green','blue','vermilion','chartreuse'}
% words1={'red','orange','yellow','green','blue','indigo','violet'}
words1
=
{
'red'
,
'orange'
,
'yellow'
,
'green'
,
'blue'
}
% words1={'red','orange','yellow','green','blue','indigo','texas'}
dx
=
NWD
(
words1
)
d
=
[];
for
i
=
1
:
length
(
words1
)
wordsX
=
words1
;
wordsX
(
i
)
=
[];
d
(
i
)
=
NWD
(
wordsX
);
end
warning
off
all
d
=
dx
-
d
'
;
[
K
Gap
S
idx
]
=
GapKM
(
d
,
length
(
words1
)
-
1
);
spareParts/goWikiFamous.m
deleted
100644 → 0
View file @
0bf58d85
tic
global QueryCache
if isempty(QueryCache)
QueryCache.Queries={};
QueryCache.Count=[];
end
global nQueryCount nCacheCount
nQueryCount=0;
nCacheCount=0;
nobels2014={'Isamu Akasaki', 'Hiroshi Amano', 'Shuji Nakamura','Eric Betzig', 'Stefan W. Hell', 'William E. Moerner','John O''Keefe', 'May-Britt Moser', 'Edvard I. Moser' }
physics={'Albert Einstein','Isaac Newton','Stephen Hawking','Nils Bohr','James Maxwell'}
chemistry={'Amedeo Avogadro','Louis Pasteur','Linus Pauling','Robert Boyle'}
medicine={'Elizabeth Blackwell','William Harvey','Carl Jung','Richard Lister'}
idxKey = [ones(1,length(nobels2014)) 2*ones(1,length(physics)) 2*ones(1,length(chemistry))...
2*ones(1,length(medicine))]
[d]=GetDistances([nobels2014,physics,chemistry,medicine],idxKey);
idx=getDistancesPairs([nobels2014,physics,chemistry,medicine],idxKey)
spareParts/goWikiScientists.m
deleted
100644 → 0
View file @
0bf58d85
tic
global QueryCache
if isempty(QueryCache)
QueryCache.Queries={};
QueryCache.Count=[];
end
global nQueryCount nCacheCount
nQueryCount=0;
nCacheCount=0;
words1={'Kolmogorov','Fermat','Hilbert', 'Godel', 'Riemann','Gauss'} % mathematicians
words2={'Einstein','Newton','Hawking','Bohr','Maxwell','Boltzmann',} %physicists
words3={'Freud','Pavlov','Skinner','Jung'} %psychologists
words4={'Turing','Lovelace','Knuth','Hopper'} % computer scientists
words5={'Darwin','Lamarck','Linnaeus','Mendel'} % biology
idxKey = [ones(1,length(words1)) 2*ones(1,length(words2)) 3*ones(1,length(words3)) 4*ones(1,length(words4)) 5*ones(1,length(words5))]
[d]=GetDistances([words1,words2,words3,words4,words5],idxKey);
idx=getDistancesPairs([words1,words2,words3,words4,words5],idxKey);
spareParts/pubmed gwas results.pdf
deleted
100644 → 0
View file @
0bf58d85
File deleted
spareParts/pubmed gwas results.xlsx
deleted
100644 → 0
View file @
0bf58d85
File deleted
spareParts/results.txt.orig
deleted
100644 → 0
View file @
0bf58d85
-------------------------
GetDistances::(multiples) NW=5
2014 5 1 16 51 5.961
red,orange,yellow,green,blue,indigo,lion,tiger,bear,monkey,zebra,elephant,nQueryCount=49, nCacheCount=335
[6 0;0 6]
-------------------------
GetDistances::(pairs)
2014 5 1 16 51 57.306
red,orange,yellow,green,blue,indigo,lion,tiger,bear,monkey,zebra,elephant,kGap=2
nQueryCount=66, nCacheCount=198
nCorrect=11
-------------------------
GetDistances::(multiples) NW=5
2014 5 1 16 52 14.308
red,orange,yellow,green,blue,indigo,square,circle,rectangle,ellipse,triangle,rhombus,nQueryCount=30, nCacheCount=354
[6 0;0 6]
-------------------------
GetDistances::(pairs)
2014 5 1 16 52 53.707
red,orange,yellow,green,blue,indigo,square,circle,rectangle,ellipse,triangle,rhombus,kGap=2
nQueryCount=51, nCacheCount=213
nCorrect=12
-------------------------
GetDistances::(multiples) NW=5
2014 5 1 16 53 30.481
Barack Obama,Hillary Clinton,John Edwards,Joe Biden,Chris Dodd,Mike Gravel,John McCain,Mitt Romney,Mike Huckabee,Ron Paul,Fred Thompson,Alan Keyes,nQueryCount=48, nCacheCount=336
[6 0;0 6]
-------------------------
GetDistances::(pairs)
2014 5 1 16 54 30.869
Barack Obama,Hillary Clinton,John Edwards,Joe Biden,Chris Dodd,Mike Gravel,John McCain,Mitt Romney,Mike Huckabee,Ron Paul,Fred Thompson,Alan Keyes,kGap=2
nQueryCount=66, nCacheCount=198
nCorrect=7
-------------------------
GetDistances::(multiples) NW=5
2014 5 1 16 54 55.778
Labidochromis caeruleus,Sciaenochromis fryeri,Betta splendens,Carassius auratus,Melanochromis cyaneorhabdos,Ecsenius bicolor,Pictichromis paccagnellae,Amphiprion ocellaris ,Paracanthurus hepatus,Chromis viridis,nQueryCount=40, nCacheCount=240
[0 5;0 5]
-------------------------
GetDistances::(multiples) NW=5
2014 5 26 17 48 59.115
red,orange,yellow,green,blue,indigo,lion,tiger,bear,monkey,zebra,elephant,nQueryCount=49, nCacheCount=335
[6 0;0 6]
-------------------------
GetDistances::(pairs)
2014 5 26 17 49 47.104
red,orange,yellow,green,blue,indigo,lion,tiger,bear,monkey,zebra,elephant,kGap=2
nQueryCount=66, nCacheCount=198
nCorrect=11
-------------------------
GetDistances::(multiples) NW=5
2014 5 26 17 50 3.128
red,orange,yellow,green,blue,indigo,square,circle,rectangle,ellipse,triangle,rhombus,nQueryCount=30, nCacheCount=354
[6 0;0 6]
-------------------------
GetDistances::(pairs)
2014 5 26 17 50 38.946
red,orange,yellow,green,blue,indigo,square,circle,rectangle,ellipse,triangle,rhombus,kGap=2
nQueryCount=51, nCacheCount=213
nCorrect=12
-------------------------
GetDistances::(multiples) NW=5
2014 5 26 17 51 15.729
Barack Obama,Hillary Clinton,John Edwards,Joe Biden,Chris Dodd,Mike Gravel,John McCain,Mitt Romney,Mike Huckabee,Ron Paul,Fred Thompson,Alan Keyes,nQueryCount=48, nCacheCount=336
[6 0;0 6]
-------------------------
GetDistances::(pairs)
2014 5 26 17 52 16.695
Barack Obama,Hillary Clinton,John Edwards,Joe Biden,Chris Dodd,Mike Gravel,John McCain,Mitt Romney,Mike Huckabee,Ron Paul,Fred Thompson,Alan Keyes,kGap=2
nQueryCount=66, nCacheCount=198
nCorrect=7
-------------------------
GetDistances::(multiples) NW=5
2014 5 26 17 52 38.784
Labidochromis caeruleus,Sciaenochromis fryeri,Betta splendens,Carassius auratus,Melanochromis cyaneorhabdos,Ecsenius bicolor,Pictichromis paccagnellae,Amphiprion ocellaris ,Paracanthurus hepatus,Chromis viridis,nQueryCount=40, nCacheCount=240
[0 5;0 5]
-------------------------
GetDistances::(multiples) NW=5
2014 5 26 18 9 46.311
red,orange,yellow,green,blue,indigo,lion,tiger,bear,monkey,zebra,elephant,nQueryCount=150, nCacheCount=474
[0 6;6 0]
-------------------------
GetDistances::(pairs)
2014 5 26 18 9 48.012
red,orange,yellow,green,blue,indigo,lion,tiger,bear,monkey,zebra,elephant,kGap=4
nQueryCount=0, nCacheCount=330
nCorrect=7
-------------------------
GetDistances::(multiples) NW=5
2014 5 26 18 10 50.192
red,orange,yellow,green,blue,indigo,square,circle,rectangle,ellipse,triangle,rhombus,nQueryCount=111, nCacheCount=513
[0 6;4 2]
-------------------------
GetDistances::(pairs)
2014 5 26 18 10 51.87
red,orange,yellow,green,blue,indigo,square,circle,rectangle,ellipse,triangle,rhombus,kGap=3
nQueryCount=0, nCacheCount=330
nCorrect=6
-------------------------
GetDistances::(multiples) NW=5
2014 5 26 18 12 44.564
Barack Obama,Hillary Clinton,John Edwards,Joe Biden,Chris Dodd,Mike Gravel,John McCain,Mitt Romney,Mike Huckabee,Ron Paul,Fred Thompson,Alan Keyes,nQueryCount=150, nCacheCount=474
[1 5;6 0]
-------------------------
GetDistances::(pairs)
2014 5 26 18 12 46.22
Barack Obama,Hillary Clinton,John Edwards,Joe Biden,Chris Dodd,Mike Gravel,John McCain,Mitt Romney,Mike Huckabee,Ron Paul,Fred Thompson,Alan Keyes,kGap=2
nQueryCount=0, nCacheCount=330
nCorrect=8
-------------------------
GetDistances::(multiples) NW=5
2014 5 26 18 13 46.902
Labidochromis caeruleus,Sciaenochromis fryeri,Betta splendens,Carassius auratus,Melanochromis cyaneorhabdos,Ecsenius bicolor,Pictichromis paccagnellae,Amphiprion ocellaris ,Paracanthurus hepatus,Chromis viridis,nQueryCount=100, nCacheCount=340
[0 5;0 5]
-------------------------
GetDistances::(pairs)
2014 5 26 18 13 48.428
Labidochromis caeruleus,Sciaenochromis fryeri,Betta splendens,Carassius auratus,Melanochromis cyaneorhabdos,Ecsenius bicolor,Pictichromis paccagnellae,Amphiprion ocellaris ,Paracanthurus hepatus,Chromis viridis,kGap=3
nQueryCount=0, nCacheCount=225
nCorrect=7
-------------------------
GetDistances::(multiples) NW=5
2014 5 27 11 29 56.627
red,orange,yellow,green,blue,indigo,lion,tiger,bear,monkey,zebra,elephant,nQueryCount=0, nCacheCount=672
[6 0;3 3]
-------------------------
GetDistances::(pairs)
2014 5 27 11 29 58.3
red,orange,yellow,green,blue,indigo,lion,tiger,bear,monkey,zebra,elephant,kGap=1
nQueryCount=0, nCacheCount=396
nCorrect=10
-------------------------
GetDistances::(multiples) NW=5
2014 5 27 11 29 58.339
red,orange,yellow,green,blue,indigo,square,circle,rectangle,ellipse,triangle,rhombus,nQueryCount=0, nCacheCount=672