No BSD License
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GKdist(X, Y, A)
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[F,WC,BC,wilks,V,e,vexp,z,zc]...
Fuzzy linear discriminant analysis
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[fpi, nce, S, dJdphi]=fvalidi...
calculate cluster validity value
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confusion(nclass,data,U)
confusion index of Burrough and McDonnell (1998)
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distmat0(x, y)
DISTMAT0 Distance matrix (no for-loops).
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fcmr(nclass,data,y,U,phi,maxi...
fuzzy k means
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fkme(nclass,data,U,phi,alfa,m...
fuzzy k means with extragrades
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fkme_all(nclass,data,centroid...
allocate fuzzy k means with extragrades
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fobj=fkme_obj(alfa,Uereq,ncla...
objective function of fkme, to find alfa that satisty mean of extragrade
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fuzall(data,phi,centroid,dist...
fuzzy k means allocation
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fuzme(nclass,data,U,phi,maxit...
fuzzy k means
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gk_all(nclass,data,phi,centro...
allocation of fuzzy k means Gustafson-Kessel algorithm
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gk_fkm(nclass,data,U,phi,maxi...
fuzzy k means with Gustafson-Kessel algorithm
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gk_fkm(nclass,data,U,phi,maxi...
fuzzy k means with Gustafson-Kessel algorithm
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initmember(scatter,nclass,nda...
initialise membership
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mahaldist(X, Y, W)
MAHALDIST Mahalanobis distance.
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run_fkme(nclass,data,phi,maxi...
Fuzzy k means with extragrades
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run_fuzme(nclass,data,phi,max...
Fuzzy k means clustering
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contents.m
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testGK.m
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test_fkme.m
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test_fuzme.m
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test_gk_fkm.m
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View all files
from
Fuzzy k means
by Budiman Minasny
Fuzzy k means clustering.
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| confusion(nclass,data,U)
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function ci = confusion(nclass,data,U)
% confusion index of Burrough and McDonnell (1998)
% ci = confusion(nclass,data,U)
% Input:
% nclass=number of class
% data= data matrix
% U=membership matrix
us=U';
us=sort(us)';
ci=1-us(:,nclass)+us(:,nclass-1);
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