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KDD
2005
ACM
166views Data Mining» more  KDD 2005»
16 years 5 months ago
A general model for clustering binary data
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
Tao Li
DASFAA
2007
IEEE
190views Database» more  DASFAA 2007»
15 years 11 months ago
Clustering Moving Objects in Spatial Networks
Advances in wireless networks and positioning technologies (e.g., GPS) have enabled new data management applications that monitor moving objects. In such new applications, realtime...
Jidong Chen, Caifeng Lai, Xiaofeng Meng, Jianliang...
DASFAA
2007
IEEE
199views Database» more  DASFAA 2007»
15 years 11 months ago
Detection and Visualization of Subspace Cluster Hierarchies
Subspace clustering (also called projected clustering) addresses the problem that different sets of attributes may be relevant for different clusters in high dimensional feature sp...
Elke Achtert, Christian Böhm, Hans-Peter Krie...
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SIGIR
1998
ACM
15 years 8 months ago
Web Document Clustering: A Feasibility Demonstration
Users of Web search engines are often forced to sift through the long ordered list of document “snippets” returned by the engines. The IR community has explored document cluste...
Oren Zamir, Oren Etzioni
CSDA
2006
98views more  CSDA 2006»
15 years 4 months ago
Fast estimation algorithm for likelihood-based analysis of repeated categorical responses
Likelihood-based marginal regression modelling for repeated, or otherwise clustered, categorical responses is computationally demanding. This is because the number of measures nee...
Jukka Jokinen