80 search results - page 8 / 16 » Using Fuzzy Clustering Technique for Function Approximation ... |
132
Voted
DAWAK
2007
Springer
15 years 9 months ago
2007
Springer
Representative-based clustering algorithms are quite popular due to their relative high speed and because of their sound theoretical foundation. On the other hand, the clusters the...
138
Voted
AUSAI
2010
Springer
15 years 1 months ago
2010
Springer
We study the problem of clustering uncertain objects whose locations are uncertain and described by probability density functions. We analyze existing pruning algorithms and experi...
148
Voted
EMMCVPR
2005
Springer
15 years 9 months ago
2005
Springer
This paper addresses the problem of efficient information theoretic, non-parametric data clustering. We develop a procedure for adapting the cluster memberships of the data pattern...
145
Voted
FUZZIEEE
2007
IEEE
15 years 10 months ago
2007
IEEE
Abstract— Feature Selection (FS) is a technique for dimensionality reduction. Its aims are to select a subset of the original features of a dataset which are rich in the most use...
136
Voted
TFS
2008
15 years 3 months ago
2008
Abstract--Since the fuzzy cerebellar model articulation controller (FCMAC) uses linguistic variables, it is highly intuitive and easily comprehended. Despite the FCMAC's good ...