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» From Comparing Clusterings to Combining Clusterings
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BMCBI
2004
117views more  BMCBI 2004»
13 years 9 months ago
Cancer characterization and feature set extraction by discriminative margin clustering
Background: A central challenge in the molecular diagnosis and treatment of cancer is to define a set of molecular features that, taken together, distinguish a given cancer, or ty...
Kamesh Munagala, Robert Tibshirani, Patrick O. Bro...
ICML
2007
IEEE
14 years 10 months ago
Spectral clustering and transductive learning with multiple views
We consider spectral clustering and transductive inference for data with multiple views. A typical example is the web, which can be described by either the hyperlinks between web ...
Dengyong Zhou, Christopher J. C. Burges
CIDM
2007
IEEE
14 years 3 months ago
Distributed Document Clustering Using Word-clusters
−Document clustering has become an increasingly important task in analyzing huge numbers of documents distributed among various sites. The challenging aspect is to analyze this e...
Debzani Deb, Rafal A. Angryk
SDM
2004
SIAM
162views Data Mining» more  SDM 2004»
13 years 10 months ago
Subspace Clustering of High Dimensional Data
Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...
Carlotta Domeniconi, Dimitris Papadopoulos, Dimitr...
TASLP
2010
128views more  TASLP 2010»
13 years 3 months ago
Speaker Diarization Exploiting the Eigengap Criterion and Cluster Ensembles
A novel system for speaker diarization is proposed that combines the eigengap criterion and cluster ensembles. No explicit assumptions on the number of speakers are made. Two varia...
Nikoletta Bassiou, Vassiliki Moschou, Constantine ...