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» Logic-oriented fuzzy clustering
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PR
2006
84views more  PR 2006»
13 years 9 months ago
Geometric visualization of clusters obtained from fuzzy clustering algorithms
Fuzzy-clustering methods, such as fuzzy k-means and Expectation Maximization, allow an object to be assigned to multiple clusters with different degrees of membership. However, th...
Luis Rueda, Yuanquan Zhang
ICONIP
2004
13 years 11 months ago
Semi-supervised Kernel-Based Fuzzy C-Means
This paper presents a semi-supervised kernel-based fuzzy c-means algorithm called S2KFCM by introducing semi-supervised learning technique and the kernel method simultaneously into...
Daoqiang Zhang, Keren Tan, Songcan Chen
ISCI
2008
72views more  ISCI 2008»
13 years 10 months ago
A cluster validity index for fuzzy clustering
Yunjie Zhang, Weina Wang, Xiaona Zhang, Yi Li
ICMLC
2010
Springer
13 years 8 months ago
An integrity-based fuzzy c-means method resolving cluster size sensitivity problem
: Cluster size insensitive FCM (csiFCM) dynamically adjusts the membership value of each object based on the size of the cluster to which it is assigned after defuzzification to re...
Y. H. Lai, P. W. Huang, P. L. Lin
EUSFLAT
2009
146views Fuzzy Logic» more  EUSFLAT 2009»
13 years 7 months ago
Local Models for the Analysis of Spatially Varying Relationships in a Lignite Deposit
-- Relationships between geographically referenced variables are usually spatially heterogeneous and, to account for such variations, local models are necessary. This paper compare...
Bulent Tutmez, A. Erhan Tercan, Uzay Kaymak, Chris...