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SADM
2008
165views more  SADM 2008»
13 years 7 months ago
Global Correlation Clustering Based on the Hough Transform
: In this article, we propose an efficient and effective method for finding arbitrarily oriented subspace clusters by mapping the data space to a parameter space defining the set o...
Elke Achtert, Christian Böhm, Jörn David...
STACS
2010
Springer
14 years 2 months ago
Online Correlation Clustering
We study the online clustering problem where data items arrive in an online fashion. The algorithm maintains a clustering of data items into similarity classes. Upon arrival of v, ...
Claire Mathieu, Ocan Sankur, Warren Schudy
KDD
2010
ACM
233views Data Mining» more  KDD 2010»
13 years 11 months ago
Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora
Mining cluster evolution from multiple correlated time-varying text corpora is important in exploratory text analytics. In this paper, we propose an approach called evolutionary h...
Jianwen Zhang, Yangqiu Song, Changshui Zhang, Shix...
SIGMOD
2004
ACM
154views Database» more  SIGMOD 2004»
14 years 7 months ago
Computing Clusters of Correlation Connected Objects
The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
Christian Böhm, Karin Kailing, Peer Krög...
ICALP
2009
Springer
14 years 7 months ago
Correlation Clustering Revisited: The "True" Cost of Error Minimization Problems
Correlation Clustering was defined by Bansal, Blum, and Chawla as the problem of clustering a set of elements based on a possibly inconsistent binary similarity function between e...
Nir Ailon, Edo Liberty