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JMLR
2006
108views more  JMLR 2006»
13 years 8 months ago
Learning Spectral Clustering, With Application To Speech Separation
Spectral clustering refers to a class of techniques which rely on the eigenstructure of a similarity matrix to partition points into disjoint clusters, with points in the same clu...
Francis R. Bach, Michael I. Jordan
ESANN
2007
13 years 9 months ago
Self-organized chains for clustering
This paper presents a new algorithm for clustering. It is an generalisation of the K-means algorithms . Each cluster will be represented by a chain of prototypes instead of being r...
Hassan Ghaziri
FSKD
2009
Springer
145views Fuzzy Logic» more  FSKD 2009»
14 years 2 months ago
Chinese Web Comments Clustering Analysis with a Two-phase Method
Usually a meaningful web topic has tens of thousands of comments, especially the hot topics. It is valuable if we congregate the comments into clusters and find out the mainstrea...
Yexin Wang, Li Zhao, Yan Zhang
IJCNN
2006
IEEE
14 years 2 months ago
Behavior of Fatigable SOM and its Application to Clustering
Abstract— The Self-Organizing Map (SOM) is popular algorithm for unsupervised learning and visualization introduced by Teuvo Kohonen. One of the most attractive applications of S...
Masato Tomita, Haruna Matsushita, Yoshifumi Nishio
PAMI
2008
162views more  PAMI 2008»
13 years 7 months ago
Dimensionality Reduction of Clustered Data Sets
We present a novel probabilistic latent variable model to perform linear dimensionality reduction on data sets which contain clusters. We prove that the maximum likelihood solution...
Guido Sanguinetti