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» An overview of clustering methods
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GIS
2007
ACM
14 years 9 months ago
Using fuzzy clustering methods for delineating urban housing submarkets
This study investigates whether a fuzzy clustering method is of any practical value in delineating urban housing submarkets relative to clustering methods based on classic (or cri...
Sungsoon Hwang, Jean-Claude Thill
BMVC
1998
13 years 10 months ago
A Method for Dynamic Clustering of Data
This paper describes a method for the segmentation of dynamic data. It extends well known algorithms developed in the context of static clustering (e.g., the c-means algorithm, Ko...
Arnaldo J. Abrantes, Jorge S. Marques
ICDM
2007
IEEE
170views Data Mining» more  ICDM 2007»
14 years 2 months ago
Consensus Clusterings
In this paper we address the problem of combining multiple clusterings without access to the underlying features of the data. This process is known in the literature as clustering...
Nam Nguyen, Rich Caruana
DATE
2005
IEEE
100views Hardware» more  DATE 2005»
14 years 2 months ago
UML 2.0 - Overview and Perspectives in SoC Design
The design productivity gap requires more efficient design methods. Software systems have faced the same challenge and seem to have mastered it with the
Tim Schattkowsky
PR
2008
169views more  PR 2008»
13 years 8 months ago
A survey of kernel and spectral methods for clustering
Clustering algorithms are a useful tool to explore data structures and have been employed in many disciplines. The focus of this paper is the partitioning clustering problem with ...
Maurizio Filippone, Francesco Camastra, Francesco ...