Resources

Downloads

(More are coming …Limited to academic use. Please cite Liu et al TPAMI12, or Vemuri et al TMI10 if you use any of the code.)

numClusters.m - detecting the optimal number of clusters. This can be used in unsupervised clustering.

tSLFitting.m - total square loss fitting.

tSL.m - total square loss between vectors.

tSLFunc.m - total square loss between probabiltiy density functions.

tSLGMM.m - total square loss between mixture of Gaussians.

tKLFunc.m - total Kullback-Leibler divergence between multivariate normal probability density functions.

tKL.m - total Kullback-Leibler divergence between tensors in d-simplex.

tKLCenter.m - total Kullback Leibler divergence center for a set of tensors.

tBDHardClustering.m - total Bregman divergence hard clustering.

tSLHardClustering.m - total square loss hard clustering.

tSLSoftClustering.m - total square loss soft clustering.

tSLCenter.m - total square loss soft clustering center.

Weight.m - The weight for a mixture of Gaussians in composing the tSL center.