Comparison of dimension reduction techniques on high dimensional datasets
Joint Authors
Yildiz, Kazim
Camurcu, Yilmaz
Dogan, Buket
Source
The International Arab Journal of Information Technology
Issue
Vol. 15, Issue 2 (31 Mar. 2018), pp.256-262, 7 p.
Publisher
Publication Date
2018-03-31
Country of Publication
Jordan
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
High dimensional data becomes very common with the rapid growth of data that has been stored in databases or other information areas.
Thus clustering process became an urgent problem.
The well-known clustering algorithms are not adequate for the high dimensional space because of the problem that is called curse of dimensionality.
So dimensionality reduction techniques have been used for accurate clustering results and improve the clustering time in high dimensional space.
In this work different dimensionality reduction techniques were combined with Fuzzy C-Means clustering algorithm.
It is aimed to reduce the complexity of high dimensional datasets and to generate more accurate clustering results.
The results were compared in terms of cluster purity, cluster entropy and mutual info.
Dimension reduction techniques are compared with current Central Processing Unit (CPU), current memory and elapsed CPU time.
The experiments showed that the proposed work produces promising results on high dimensional space.
American Psychological Association (APA)
Yildiz, Kazim& Camurcu, Yilmaz& Dogan, Buket. 2018. Comparison of dimension reduction techniques on high dimensional datasets. The International Arab Journal of Information Technology،Vol. 15, no. 2, pp.256-262.
https://search.emarefa.net/detail/BIM-838609
Modern Language Association (MLA)
Yildiz, Kazim…[et al.]. Comparison of dimension reduction techniques on high dimensional datasets. The International Arab Journal of Information Technology Vol. 15, no. 2 (Mar. 2018), pp.256-262.
https://search.emarefa.net/detail/BIM-838609
American Medical Association (AMA)
Yildiz, Kazim& Camurcu, Yilmaz& Dogan, Buket. Comparison of dimension reduction techniques on high dimensional datasets. The International Arab Journal of Information Technology. 2018. Vol. 15, no. 2, pp.256-262.
https://search.emarefa.net/detail/BIM-838609
Data Type
Journal Articles
Language
English
Notes
Includes appendix : p. 262
Record ID
BIM-838609