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TKDE
2002
124views more  TKDE 2002»
15 years 6 months ago
Clustering for Approximate Similarity Search in High-Dimensional Spaces
In this paper we present a clustering and indexing paradigm called Clindex for high-dimensional search spaces. The scheme is designed for approximate similarity searches, where on...
Chen Li, Edward Y. Chang, Hector Garcia-Molina, Gi...
PAMI
2007
113views more  PAMI 2007»
15 years 6 months ago
Dominant Sets and Pairwise Clustering
—We develop a new graph-theoretic approach for pairwise data clustering which is motivated by the analogies between the intuitive concept of a cluster and that of a dominant set ...
Massimiliano Pavan, Marcello Pelillo
IV
2010
IEEE
193views Visualization» more  IV 2010»
15 years 5 months ago
Drawing Clustered Bipartite Graphs in Multi-circular Style
Abstract—Bipartite graphs are often used to illustrate relationships between two sets of data, such as web pages and visitors. At the same time, information is often organized hi...
Takao Ito, Kazuo Misue, Jiro Tanaka
EMNLP
2009
15 years 5 months ago
Improving Verb Clustering with Automatically Acquired Selectional Preferences
In previous research in automatic verb classification, syntactic features have proved the most useful features, although manual classifications rely heavily on semantic features. ...
Lin Sun, Anna Korhonen
ICASSP
2011
IEEE
15 years 4 months ago
Non-flat clustering whith alpha-divergences
The scope of the well-known k-means algorithm has been broadly extended with some recent results: first, the k- means++ initialization method gives some approximation guarantees...
Olivier Schwander, Frank Nielsen