The week's pick
Random Articles
Reseach Article
Type-2 Projected Gustafson-Kessel Clustering Algorithm
by
Charu Puri,
Naveen Kumar
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 167 - Number 14 |
| Year of Publication: 2017 |
| Authors: Charu Puri, Naveen Kumar |
10.5120/ijca2017914445
|
Charu Puri, Naveen Kumar . Type-2 Projected Gustafson-Kessel Clustering Algorithm. International Journal of Computer Applications. 167, 14 ( Jun 2017), 1-6. DOI=10.5120/ijca2017914445
@article{
10.5120/ijca2017914445,
author = {
Charu Puri,
Naveen Kumar
},
title = { Type-2 Projected Gustafson-Kessel Clustering Algorithm },
journal = {
International Journal of Computer Applications
},
issue_date = { Jun 2017 },
volume = { 167 },
number = { 14 },
month = { Jun },
year = { 2017 },
issn = { 0975-8887 },
pages = {
1-6
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume167/number14/27934-2017914445/
},
doi = { 10.5120/ijca2017914445 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:14:49.143465+05:30
%A Charu Puri
%A Naveen Kumar
%T Type-2 Projected Gustafson-Kessel Clustering Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 167
%N 14
%P 1-6
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract
We propose a type-2 based clustering algorithm to capture data points and attributes relationship embedded in fuzzy subspaces. It is a modification of Gustafson Kessel clustering algorithm through deployment of type-2 fuzzy sets for high dimensional data. The experimental results have shown that type-2 projected GK algorithm perform considerably better than the comparative techniques.
References
- Hinneburg, C. Aggarwal, and D.A. Keim, What is the nearest neighbor in high dimensional spaces? In Proceedings 26th International Conference on Very Large Data Bases (VLDB-2000), Cairo, Egypt, September 2000, pp. 506-515, Morgan Kaufmann (2000).
- K. Jain, M.N. Murthy, P.J. Flynn, Data clustering: a review, ACM Comput. Survey, vol. 31(3) pp. 264-323, 1999.
- Wiswedel and M.R.Berthold. Fuzzy clustering in parallel universies In Proc.Conf. North American Fuzzy Information Processing Society(NAFIPS 2005), pp. 567-572, 2005.
- Aggarwal, J. Wolf, P. Yu, C. Procopiuc, and J. Park. Fast algorithms for projected clustering In Proceedings of the 1999 ACM SIGMOD international conference on Management of data, pp. 61-72. ACM Press, 1999.
- Bohm, K. Railing, H.-P. Kriegel, P. Kroger, Density Connected Clustering with Local Subspace Preferences, ICDM, Fourth IEEE International Conference, pp. 27 - 34, Nov. 2004.
- Dubois and H. Prade, Fuzzy Sets and Systems: Theory and Applications. New York: Academic, 1980.
- Lin, M.S. Yang, A Similarity Measure between Type-2 Fuzzy Sets with Its Application to Clustering, Proc. of Int. Conf. on Fuzzy Systems and Knowledge Discovery, pp. 726-731, 2007.
- C.H. Rhee and C. Hwang, A Type-2 Fuzzy-c-Means clustering algorithm, In Proceedings of IEEE FUZZ Conference, Melbourne, Australia, pp.1926- 1929, December 2001.
- Hoppner, F. Klawonn, R. Kruse, and T. Runkler, Fuzzy Cluster Analysis: Methods for Classification, Data Analysis, and Image Recognition, John Wiley Sons (1999).
- J. Klir, B.Yuan, Fuzzy sets and Fuzzy Logic:Theory and Applications, Prentice Hall, Upper Saddle River, NJ, 1995.
- J. Klir and T. A. Folger, Fuzzy Sets, Uncertainty and Information. Englewood Clifs, NJ: Prentice Hall, 1988.
- Gan, J. Wu, A Fuzzy Subspace Algorithm for Clustering High Dimensional Data, ADMA, 2006.
- B. Mitchell, Pattern recognition using type-II fuzzy Sets,Information Sciences pp. 409-418, 2005.
- Abonyi and Balazas Feil, Cluster Analysis for Data Mining and System Identification, Birkhauser. (1) J.C. Bezdek, Pattern recognition with Fuzzy Objective Function Algorithm, Plenum Press, New York, 1981.
- Han and M. Kamber, Data Mining: Concepts and Techniques, Morgan Kaufmann, 2006.
- M. Mendel, Advances in type-2 fuzzy sets and systems, Information Sciences, pp. 84110, 2007.
- M. Mendel, R.I. John, Type-2 fuzzy sets made simple, IEEE Transactions on Fuzzy Systems, pp. 117127, 2002.
- N Karnik and J.M. Mendel, Introduction to Type-2 Fuzzy Logic Systems, In Proc. 7th Intl. Conf. on Fuzzy Systems FUZZ-IEEE’98, pp. 915-920, 1998.
- Beyer, J. Goldstein, R. Ramakrishnan, and U. Shaft. When is ”nearest neighbor” meaningful? In C. Beeri and P. Buneman, editors, Database Theory - ICDT ’99,7th International Conference, Jerusalem, Israel, January 10-12, 1999, Proceedings, volume 1540 of Lecture Notes in Computer Science, pp. 217-235, 1999.
Index Terms
Computer Science
Information Sciences
Keywords