NDLI: Genetic clustering based on segregation distortion caused by selfish genes

Content Provider	IEEE Xplore Digital Library
Author	Ohnishi, K. Koppen, M. Chang Wook Ahn Yoshida, K.
Copyright Year	2012
Description	Author affiliation: Department of Computer Engineering, Sungkyunkwan University, 300 Cheoncheon-dong, Suwon 440-746, Republic of Korea (Chang Wook Ahn) \|\| Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka-shi, Fukuoka 820-8502, Japan (Ohnishi, K.; Koppen, M.; Yoshida, K.)
Abstract	In this study we propose a data clustering method relying on a new genetic operator, which is based on the biological concept of segregation distortion genes. The proposed method repeatedly applies conditional recombination and mutation operators to a pair of randomly selected chromosomes from a population, whose initial members represent the target data to be clustered, thus increasing the population size. While doing so, so-called segregation distortion genes are recognized, which then separate the growing population into species. There, a species is characterized by a set of chromosomes that can yield new chromosomes by using standard genetic operators, while these operators cannot be applied between the set of chromosomes of different species (this way establishing above-mentioned conditional application of operators). This also indicates that the proportion of a particular allele on some locus within the whole population, in comparison to other alleles, can increase, thus giving raise for new segregation distortion genes, and new species, to appear. The assignment of the initial cluster data within the population to species gives the clustering result. The proposed method is demonstrated for the problem of clustering of bit strings, the processing is analyzed, and its feasibility is shown.
Starting Page	414
Ending Page	419
File Size	120390
Page Count	6
File Format	PDF
ISBN	9781467317139
e-ISBN	9781467317146
e-ISBN	9781467317122
DOI	10.1109/ICSMC.2012.6377759
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-14
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biological cells Sociology Statistics Clustering algorithms Genetics Clustering methods Evolutionary computation genetic algorithm data clustering speciation segregation distortion selfish gene
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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