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IJAR
2007
113views more  IJAR 2007»
15 years 3 months ago
Fuzzy clustering in parallel universes
We present an extension of the fuzzy c-Means algorithm, which operates simultaneously on different feature spaces—so-called parallel universes—and also incorporates noise det...
Bernd Wiswedel, Michael R. Berthold
157
Voted
TNN
1998
254views more  TNN 1998»
15 years 3 months ago
Comparative analysis of fuzzy ART and ART-2A network clustering performance
—Adaptive resonance theory (ART) describes a family of self-organizing neural networks, capable of clustering arbitrary sequences of input patterns into stable recognition codes....
T. Frank, Karl-Friedrich Kraiss, Torsten Kuhlen
ICPR
2004
IEEE
16 years 5 months ago
Extraction and Clustering of Motion Trajectories in Video
A system is described that tracks moving objects in a video dataset so as to extract a representation of the objects' 3D trajectories. The system then finds hierarchical clus...
Dan Buzan, George Kollios, Stan Sclaroff
124
Voted
EDBTW
2004
Springer
15 years 9 months ago
Clustering XML Documents Using Structural Summaries
This work presents a methodology for grouping structurally similar XML documents using clustering algorithms. Modeling XML documents with tree-like structures, we face the ‘clust...
Theodore Dalamagas, Tao Cheng, Klaas-Jan Winkel, T...
137
Voted
HLK
2003
IEEE
15 years 9 months ago
Pose-Based Clustering in Action Sequences
A method is presented for automatically extracting key frames from an image sequence. The sequence is divided into clusters of frames with similar appearance, and the most central...
Gareth Loy, Josephine Sullivan, Stefan Carlsson