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JMLR
2006
108views more  JMLR 2006»
13 years 7 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
HAIS
2010
Springer
13 years 7 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,...
SSPR
2010
Springer
13 years 5 months ago
Non-parametric Mixture Models for Clustering
Mixture models have been widely used for data clustering. However, commonly used mixture models are generally of a parametric form (e.g., mixture of Gaussian distributions or GMM),...
Pavan Kumar Mallapragada, Rong Jin, Anil K. Jain
ICCV
2007
IEEE
14 years 9 months ago
Noise Robust Spectral Clustering
This paper aims to introduce the robustness against noise into the spectral clustering algorithm. First, we propose a warping model to map the data into a new space on the basis o...
Zhenguo Li, Jianzhuang Liu, Shifeng Chen, Xiaoou T...
ICCV
2005
IEEE
14 years 9 months ago
Robust Path-Based Spectral Clustering with Application to Image Segmentation
Spectral clustering and path-based clustering are two recently developed clustering approaches that have delivered impressive results in a number of challenging clustering tasks. ...
Hong Chang, Dit-Yan Yeung