172 search results - page 7 / 35 » Graph-Based Data Clustering with Overlaps |
INCDM
2010
Springer
14 years 8 months ago
2010
Springer
Many real world systems can be modeled as networks or graphs. Clustering algorithms that help us to organize and understand these networks are usually referred to as, graph based c...
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MICCAI
2008
Springer
15 years 10 months ago
2008
Springer
Abstract. Structural imaging investigations commonly apply a segmentation step followed by the extraction of feature data that can be used to compare or discriminate groups. We pre...
SDM
2008
SIAM
14 years 11 months ago
2008
SIAM
In this paper, we present a measure associated with detection and inference of statistically anomalous clusters of a graph based on the likelihood test of observed and expected ed...
TKDE
2008
14 years 9 months ago
2008
In this paper, we present an agglomerative fuzzy K-Means clustering algorithm for numerical data, an extension to the standard fuzzy K-Means algorithm by introducing a penalty term...
ICDM
2003
IEEE
15 years 2 months ago
2003
IEEE
PixelMaps are a new pixel-oriented visual data mining technique for large spatial datasets. They combine kerneldensity-based clustering with pixel-oriented displays to emphasize c...