797 search results - page 2 / 160 » Adaptive Optimization of the Number of Clusters in Fuzzy Clu... |
123
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CEC
2009
IEEE
15 years 4 months ago
2009
IEEE
—This paper applies the Differential Evolution (DE) algorithm to the task of automatic fuzzy clustering in a Multi-objective Optimization (MO) framework. It compares the performa...
107
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IAJIT
2008
14 years 11 months ago
2008
: The fuzzy c-means clustering algorithm has been widely used to obtain the fuzzy k-partitions. This algorithm requires that the user gives the number of clusters k. To find automa...
TKDE
2008
14 years 11 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...
IJIT
2004
15 years 29 days ago
2004
In the last decades, a number of robust fuzzy clustering algorithms have been proposed to partition data sets affected by noise and outliers. Robust fuzzy C-means (robust-FCM) is c...
FUZZIEEE
2007
IEEE
15 years 6 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...