10 search results - page 1 / 2 » SoF: Soft-Cluster Matrix Factorization for Probabilistic Clu... |
ECML
2005
Springer
13 years 6 months ago
2005
Springer
Although very widely used in unsupervised data mining, most clustering methods are affected by the instability of the resulting clusters w.r.t. the initialization of the algorithm ...
CSDA
2008
13 years 4 months ago
2008
Non-negative Matrix Factorization (NMF) and Probabilistic Latent Semantic Indexing (PLSI) have been successfully applied to document clustering recently. In this paper, we show th...
ICCV
2005
IEEE
13 years 10 months ago
2005
IEEE
We derive the clustering problem from first principles showing that the goal of achieving a probabilistic, or ”hard”, multi class clustering result is equivalent to the algeb...
ICASSP
2009
IEEE
13 years 2 months ago
2009
IEEE
Nonnegative matrix tri-factorization (NMTF) is a 3-factor decomposition of a nonnegative data matrix, X USV , where factor matrices, U, S, and V , are restricted to be nonnegativ...
SIGIR
2008
ACM
13 years 4 months ago
2008
ACM
We introduce the posterior probabilistic clustering (PPC), which provides a rigorous posterior probability interpretation for Nonnegative Matrix Factorization (NMF) and removes th...