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PKDD
2007
Springer
109views Data Mining» more  PKDD 2007»
16 years 19 days ago
Matching Partitions over Time to Reliably Capture Local Clusters in Noisy Domains
Abstract. When seeking for small clusters it is very intricate to distinguish between incidental agglomeration of noisy points and true local patterns. We present the PAMALOC algor...
Frank Höppner, Mirko Böttcher
WG
2007
Springer
16 years 19 days ago
On Finding Graph Clusterings with Maximum Modularity
Modularity is a recently introduced quality measure for graph clusterings. It has immediately received considerable attention in several disciplines, and in particular in the compl...
Ulrik Brandes, Daniel Delling, Marco Gaertler, Rob...
AAIM
2007
Springer
118views Algorithms» more  AAIM 2007»
15 years 10 months ago
Significance-Driven Graph Clustering
Abstract. Modularity, the recently defined quality measure for clusterings, has attained instant popularity in the fields of social and natural sciences. We revisit the rationale b...
Marco Gaertler, Robert Görke, Dorothea Wagner
ESWA
2007
119views more  ESWA 2007»
15 years 6 months ago
Marketing segmentation using support vector clustering
ct 9 Marketing segmentation is widely used for targeting a smaller market and is useful for decision makers to reach all customers effec10 tively with one basic marketing mix. Alt...
Jih-Jeng Huang, Gwo-Hshiung Tzeng, Chorng-Shyong O...
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