Version 1
: Received: 23 November 2018 / Approved: 26 November 2018 / Online: 26 November 2018 (10:19:05 CET)
How to cite:
Siddique, M.A.B.; Arif, R.B.; Khan, M.M.R.; Ashrafi, Z. Implementation of Fuzzy C-Means and Possibilistic C-Means Clustering Algorithms, Cluster Tendency Analysis and Cluster Validation. Preprints2018, 2018110581. https://doi.org/10.20944/preprints201811.0581.v1
Siddique, M.A.B.; Arif, R.B.; Khan, M.M.R.; Ashrafi, Z. Implementation of Fuzzy C-Means and Possibilistic C-Means Clustering Algorithms, Cluster Tendency Analysis and Cluster Validation. Preprints 2018, 2018110581. https://doi.org/10.20944/preprints201811.0581.v1
Siddique, M.A.B.; Arif, R.B.; Khan, M.M.R.; Ashrafi, Z. Implementation of Fuzzy C-Means and Possibilistic C-Means Clustering Algorithms, Cluster Tendency Analysis and Cluster Validation. Preprints2018, 2018110581. https://doi.org/10.20944/preprints201811.0581.v1
APA Style
Siddique, M.A.B., Arif, R.B., Khan, M.M.R., & Ashrafi, Z. (2018). Implementation of Fuzzy C-Means and Possibilistic C-Means Clustering Algorithms, Cluster Tendency Analysis and Cluster Validation. Preprints. https://doi.org/10.20944/preprints201811.0581.v1
Chicago/Turabian Style
Siddique, M.A.B., Mohammad Mahmudur Rahman Khan and Zahidun Ashrafi. 2018 "Implementation of Fuzzy C-Means and Possibilistic C-Means Clustering Algorithms, Cluster Tendency Analysis and Cluster Validation" Preprints. https://doi.org/10.20944/preprints201811.0581.v1
Abstract
In this paper, several two-dimensional clustering scenarios are given. In those scenarios, soft partitioning clustering algorithms (Fuzzy C-means (FCM) and Possibilistic c-means (PCM)) are applied. Afterward, VAT is used to investigate the clustering tendency visually, and then in order of checking cluster validation, three types of indices (e.g., PC, DI, and DBI) were used. After observing the clustering algorithms, it was evident that each of them has its limitations; however, PCM is more robust to noise than FCM as in case of FCM a noise point has to be considered as a member of any of the cluster.
Computer Science and Mathematics, Data Structures, Algorithms and Complexity
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
