A Modified MinMax k -Means Algorithm Based on PSO

Joint Authors

Bai, Yanping
Wang, Xiao-Yan

Source

Computational Intelligence and Neuroscience

Issue

Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-08-30

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Biology

Abstract EN

The MinMax k -means algorithm is widely used to tackle the effect of bad initialization by minimizing the maximum intraclustering errors.

Two parameters, including the exponent parameter and memory parameter, are involved in the executive process.

Since different parameters have different clustering errors, it is crucial to choose appropriate parameters.

In the original algorithm, a practical framework is given.

Such framework extends the MinMax k -means to automatically adapt the exponent parameter to the data set.

It has been believed that if the maximum exponent parameter has been set, then the programme can reach the lowest intraclustering errors.

However, our experiments show that this is not always correct.

In this paper, we modified the MinMax k -means algorithm by PSO to determine the proper values of parameters which can subject the algorithm to attain the lowest clustering errors.

The proposed clustering method is tested on some favorite data sets in several different initial situations and is compared to the k -means algorithm and the original MinMax k -means algorithm.

The experimental results indicate that our proposed algorithm can reach the lowest clustering errors automatically.

American Psychological Association (APA)

Wang, Xiao-Yan& Bai, Yanping. 2016. A Modified MinMax k -Means Algorithm Based on PSO. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1099684

Modern Language Association (MLA)

Wang, Xiao-Yan& Bai, Yanping. A Modified MinMax k -Means Algorithm Based on PSO. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-13.
https://search.emarefa.net/detail/BIM-1099684

American Medical Association (AMA)

Wang, Xiao-Yan& Bai, Yanping. A Modified MinMax k -Means Algorithm Based on PSO. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1099684

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1099684