Application of Genetic Algorithm Based Intuitionistic Fuzzy k-Mode for Clustering Categorical Data Cover

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Application of Genetic Algorithm Based Intuitionistic Fuzzy k-Mode for Clustering Categorical Data

Cybernetics and Information Technologies

Volume 17 (2017): Issue 4 (November 2017)

By: Akarsh Goyal, Patra Anupam Sourav and P. Kalyanaraman

Open Access

|Nov 2017

Authors

Akarsh Goyal

akarsh.goyal15@gmail.com

School of Computer Science and Engineering, VIT University,, Vellore, India

Patra Anupam Sourav

anupam.sourav@gmail.com

School of Computer Science and Engineering, VIT University,, Vellore, India

P. Kalyanaraman

pkalyanaraman@vit.ac.in

School of Computer Science and Engineering, VIT University,, Vellore, India

DOI: https://doi.org/10.1515/cait-2017-0044 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702

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Language: English

Page range: 99 - 113

Published on: Nov 30, 2017

Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

Categorical data,

intuitionistic fuzzy k-Mode,

simulated annealing,

Genetic Algorithm

Related subjects:

Computer sciences,

Information technology

© 2017 Akarsh Goyal, Patra Anupam Sourav, P. Kalyanaraman, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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