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» FACT: A New Fuzzy Adaptive Clustering Technique
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FSS
2002
99views more  FSS 2002»
13 years 5 months ago
Extreme physical information and objective function in fuzzy clustering
Fuzzy clustering algorithms have been widely studied and applied in a variety of areas. They become the major techniques7 in cluster analysis. In this paper, we focus on objective...
Michel Ménard, Michel Eboueya
CSE
2009
IEEE
13 years 10 months ago
A Failure Adapted, Load-Balanced Distributed Routing for Wireless Ad Hoc Sensor Networks
— this paper proposes a distributed routing protocol for ad hoc sensor networks which uses Fuzzy Logic. Each sensor uses a Fuzzy decision making process to find the best Cluster ...
Shahram Nourizadeh, Yeqiong Song, Jean-Pierre Thom...
GECCO
2005
Springer
207views Optimization» more  GECCO 2005»
13 years 11 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
CIKM
2000
Springer
13 years 10 months ago
A Semi-Supervised Document Clustering Technique for Information Organization
This paper discusses a new type of semi-supervised document clustering that uses partial supervision to partition a large set of documents. Most clustering methods organizes docum...
Han-joon Kim, Sang-goo Lee
ICPR
2010
IEEE
13 years 10 months ago
Evolving Fuzzy Classifiers: Application to Incremental Learning of Handwritten Gesture Recognition Systems
In this paper, we present a new method to design customizable self-evolving fuzzy rule-based classifiers. The presented approach combines an incremental clustering algorithm with a...
Abdullah Almaksour, Eric Anquetil, Solen Quiniou, ...