An efficient fuzzy C-least median clustering algorithm
In today’s reality ’World Wide Web’ is considered as the archive of extremely enormous measure of data. The substance and complexity of WWW are increasing day by day. Presently the circumstances are such that we are suffocating in data yet starving for knowledge. Because of these circumstances da...
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my.iium.irep.894492021-04-21T02:16:35Z http://irep.iium.edu.my/89449/ An efficient fuzzy C-least median clustering algorithm Mallik, Moksud Alam Zulkurnain, Nurul Fariza Nizamuddin, Mohammed Khaja Aboosalih, K C TK7885 Computer engineering In today’s reality ’World Wide Web’ is considered as the archive of extremely enormous measure of data. The substance and complexity of WWW are increasing day by day. Presently the circumstances are such that we are suffocating in data yet starving for knowledge. Because of these circumstances data mining is extremely important to get valuable data from WWW.Clustering data mining is the process of putting together meaning-full or use-full similar object into one group. It is a common technique for statistical data, machine learning and computer science analysis. Clustering is a kind of unsupervised data mining technique which describes general working behavior, pattern extraction and extracts useful information from time series data. In this paper we are discussing our new procedure for clustering called Fuzzy C-least median of squares algorithm which is an improvement to Fuzzy C-means (FCM) algorithm. As it is concerned with the least value among medians, it wipes out means squared error and eliminates the effect of outliers. We compared our clustering result got by applying FCM and FCLM by using Xie-Beni Index, Fukuyama-Sygeno Index and Partition Coefficient. The outcomes demonstrate a clear improvement of our algorithm than existing FCM algorithm. IOP Publishing Ltd 2021 Article PeerReviewed application/pdf en http://irep.iium.edu.my/89449/7/89449_An%20efficient%20fuzzy%20C-least%20median%20clustering%20algorithm.pdf Mallik, Moksud Alam and Zulkurnain, Nurul Fariza and Nizamuddin, Mohammed Khaja and Aboosalih, K C (2021) An efficient fuzzy C-least median clustering algorithm. IOP Conference Series: Materials Science and Engineering, 1070. pp. 1-11. ISSN 1757-8981 E-ISSN 1757-899X https://iopscience.iop.org/article/10.1088/1757-899X/1070/1/012050/pdf https://doi.org/10.1088/1757-899X/1070/1/012050 |
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TK7885 Computer engineering Mallik, Moksud Alam Zulkurnain, Nurul Fariza Nizamuddin, Mohammed Khaja Aboosalih, K C An efficient fuzzy C-least median clustering algorithm |
description |
In today’s reality ’World Wide Web’ is considered as the archive of extremely enormous
measure of data. The substance and complexity of WWW are increasing day by day. Presently the
circumstances are such that we are suffocating in data yet starving for knowledge. Because of these
circumstances data mining is extremely important to get valuable data from WWW.Clustering data mining
is the process of putting together meaning-full or use-full similar object into one group. It is a common
technique for statistical data, machine learning and computer science analysis. Clustering is a kind of
unsupervised data mining technique which describes general working behavior, pattern extraction and
extracts useful information from time series data. In this paper we are discussing our new procedure for
clustering called Fuzzy C-least median of squares algorithm which is an improvement to Fuzzy C-means
(FCM) algorithm. As it is concerned with the least value among medians, it wipes out means squared error
and eliminates the effect of outliers. We compared our clustering result got by applying FCM and FCLM
by using Xie-Beni Index, Fukuyama-Sygeno Index and Partition Coefficient. The outcomes demonstrate a
clear improvement of our algorithm than existing FCM algorithm. |
format |
Article |
author |
Mallik, Moksud Alam Zulkurnain, Nurul Fariza Nizamuddin, Mohammed Khaja Aboosalih, K C |
author_facet |
Mallik, Moksud Alam Zulkurnain, Nurul Fariza Nizamuddin, Mohammed Khaja Aboosalih, K C |
author_sort |
Mallik, Moksud Alam |
title |
An efficient fuzzy C-least median clustering algorithm |
title_short |
An efficient fuzzy C-least median clustering algorithm |
title_full |
An efficient fuzzy C-least median clustering algorithm |
title_fullStr |
An efficient fuzzy C-least median clustering algorithm |
title_full_unstemmed |
An efficient fuzzy C-least median clustering algorithm |
title_sort |
efficient fuzzy c-least median clustering algorithm |
publisher |
IOP Publishing Ltd |
publishDate |
2021 |
url |
http://irep.iium.edu.my/89449/7/89449_An%20efficient%20fuzzy%20C-least%20median%20clustering%20algorithm.pdf http://irep.iium.edu.my/89449/ https://iopscience.iop.org/article/10.1088/1757-899X/1070/1/012050/pdf https://doi.org/10.1088/1757-899X/1070/1/012050 |
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