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125
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IJUFKS
2007
15 years 3 months ago
2007
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...
126
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CIDM
2007
IEEE
15 years 9 months ago
2007
IEEE
Clustering large data sets with high dimensionality is a challenging data-mining task. This paper presents a framework to perform such a task efficiently. It is based on the notio...
121
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FUZZIEEE
2007
IEEE
15 years 9 months ago
2007
IEEE
Abstract—In contrast to standard fuzzy clustering, which optimizes a set of prototypes, one for each cluster, this paper studies fuzzy clustering without prototypes. Starting fro...
116
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ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
In this paper we propose a novel clustering algorithm based on maximizing the mutual information between data points and clusters. Unlike previous methods, we neither assume the d...
115
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IBPRIA
2003
Springer
15 years 8 months ago
2003
Springer
A straightforward and efficient way to discover clustering tendencies in data using a recently proposed Maximum Variance Clustering algorithm is proposed. The approach shares the ...