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» Missing Values Imputation for a Clustering Genetic Algorithm
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FUZZIEEE
2007
IEEE
15 years 4 months ago
Learning Fuzzy Linguistic Models from Low Quality Data by Genetic Algorithms
— Incremental rule base learning techniques can be used to learn models and classifiers from interval or fuzzyvalued data. These algorithms are efficient when the observation e...
Luciano Sánchez, José Otero
ICAISC
2010
Springer
15 years 2 months ago
A New Implementation of the co-VAT Algorithm for Visual Assessment of Clusters in Rectangular Relational Data
This paper presents a new implementation of the co-VAT algorithm. We assume we have an m × n matrix D, where the elements of D are pair-wise dissimilarities between m row objects ...
Timothy C. Havens, James C. Bezdek, James M. Kelle...
80
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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
PAMI
2006
134views more  PAMI 2006»
14 years 9 months ago
A Genetic Algorithm Using Hyper-Quadtrees for Low-Dimensional K-means Clustering
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...
Michael Laszlo, Sumitra Mukherjee
ICARIS
2005
Springer
15 years 3 months ago
Two Ways to Grow Tissue for Artificial Immune Systems
An immune system without tissue is like evolution without genes. Something very important is missing. Here we present the novel concept of tissue for artificial immune systems. Muc...
Peter J. Bentley, Julie Greensmith, Supiya Ujjin