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PR
2008
116views more  PR 2008»
13 years 4 months ago
Robust path-based spectral clustering
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
CVPR
2003
IEEE
14 years 6 months ago
Robust Data Clustering
We address the problem of robust clustering by combining data partitions (forming a clustering ensemble) produced by multiple clusterings. We formulate robust clustering under an ...
Ana L. N. Fred, Anil K. Jain
ICDM
2007
IEEE
170views Data Mining» more  ICDM 2007»
13 years 11 months ago
Consensus Clusterings
In this paper we address the problem of combining multiple clusterings without access to the underlying features of the data. This process is known in the literature as clustering...
Nam Nguyen, Rich Caruana
NCI
2004
142views Neural Networks» more  NCI 2004»
13 years 6 months ago
A competitive and cooperative learning approach to robust data clustering
This paper presents a new semi-competitive learning paradigm named Competitive and Cooperative Learning (CCL), in which seed points not only compete each other for updating to ada...
Yiu-ming Cheung
PAKDD
2010
ACM
134views Data Mining» more  PAKDD 2010»
13 years 6 months ago
A Robust Seedless Algorithm for Correlation Clustering
Abstract. Finding correlation clusters in the arbitrary subspaces of highdimensional data is an important and a challenging research problem. The current state-of-the-art correlati...
Mohammad S. Aziz, Chandan K. Reddy