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FSS
2008
130views more  FSS 2008»
14 years 9 months ago
A fuzzy k-partitions model for categorical data and its comparison to the GoM model
The grade of membership (GoM) model uses fuzzy sets as memberships of each individual to extreme profiles (or classes) on the likelihood function of multivariate multinomial distr...
Miin-Shen Yang, Yu-Hsuan Chiang, Chiu-Chi Chen, Ch...
FSKD
2005
Springer
143views Fuzzy Logic» more  FSKD 2005»
15 years 3 months ago
Energy Efficient Dynamic Cluster Based Clock Synchronization for Wireless Sensor Network
Core operations (e.g. TDMA scheduler, synchronized sleep period, data aggregation) of many proposed protocols for different layer of sensor network necessitate clock synchronizatio...
Md. Mamun-Or-Rashid, Choong Seon Hong, Jinsung Cho
CORR
2011
Springer
173views Education» more  CORR 2011»
14 years 4 months ago
Probability Based Clustering for Document and User Properties
Information Retrieval systems can be improved by exploiting context information such as user and document features. This article presents a model based on overlapping probabilistic...
Thomas Mandl, Christa Womser-Hacker
GECCO
2005
Springer
207views Optimization» more  GECCO 2005»
15 years 3 months ago
Adaptive crossover and mutation in genetic algorithms based on clustering technique
Instead of having fixed px and pm, this paper presents the use of fuzzy logic to adaptively tune px and pm for optimization of power electronic circuits throughout the process. By...
Jun Zhang, Henry Shu-Hung Chung, Jinghui Zhong
82
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PR
2006
127views more  PR 2006»
14 years 9 months ago
Unsupervised possibilistic clustering
In fuzzy clustering, the fuzzy c-means (FCM) clustering algorithm is the best known and used method. Since the FCM memberships do not always explain the degrees of belonging for t...
Miin-Shen Yang, Kuo-Lung Wu