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ECML
2006
Springer
15 years 6 months ago
B-Matching for Spectral Clustering
We propose preprocessing spectral clustering with b-matching to remove spurious edges in the adjacency graph prior to clustering. B-matching is a generalization of traditional maxi...
Tony Jebara, Vlad Shchogolev
LREC
2008
98views Education» more  LREC 2008»
15 years 5 months ago
Ping-pong Document Clustering using NMF and Linkage-Based Refinement
This paper proposes a ping-pong document clustering method using NMF and the linkage based refinement alternately, in order to improve the clustering result of NMF. The use of NMF...
Hiroyuki Shinnou, Minoru Sasaki
EUSFLAT
2003
145views Fuzzy Logic» more  EUSFLAT 2003»
15 years 5 months ago
Proximity fuzzy clustering for web context analysis
This study extends the web classification approach through a proximity-based fuzzy clustering sensible to the influence of the page. The proximity-based fuzzy clustering works in ...
Vincenzo Loia, Witold Pedrycz, Sabrina Senatore
HAIS
2010
Springer
15 years 4 months ago
A Hybrid Cluster-Lift Method for the Analysis of Research Activities
A hybrid of two novel methods - additive fuzzy spectral clustering and lifting method over a taxonomy - is applied to analyse the research activities of a department. To be specifi...
Boris Mirkin, Susana Nascimento, Trevor I. Fenner,...
150
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JMLR
2006
108views more  JMLR 2006»
15 years 4 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