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NLDB
2005
Springer
13 years 10 months ago
An Approach to Clustering Abstracts
Mikhail Alexandrov, Alexander F. Gelbukh, Paolo Ro...
DEXAW
2009
IEEE
173views Database» more  DEXAW 2009»
13 years 12 months ago
Automatic Cluster Number Selection Using a Split and Merge K-Means Approach
Abstract—The k-means method is a simple and fast clustering technique that exhibits the problem of specifying the optimal number of clusters preliminarily. We address the problem...
Markus Muhr, Michael Granitzer
ENGL
2007
92views more  ENGL 2007»
13 years 5 months ago
K-Mutual Nearest Neighbour Approach for Clustering Two-Dimensional Shapes Described by Fuzzy-Symbolic Features
Abstract— In this paper, a new method of representing twodimensional shapes using fuzzy-symbolic features and a similarity measure defined over fuzzy-symbolic features useful for...
H. S. Nagendraswamy, D. S. Guru
IJUFKS
2007
108views more  IJUFKS 2007»
13 years 5 months ago
Resampling for Fuzzy Clustering
Abstract. Resampling methods are among the best approaches to determine the number of clusters in prototype-based clustering. The core idea is that with the right choice for the nu...
Christian Borgelt