The implementation of a hybrid fuzzy clustering on the public health facility data

Samingun Handoyo; Agus Widodo; Waego Hadi Nugroho; Imam N. Purwanto

doi:10.30534/ijatcse/2019/135862019

The implementation of a hybrid fuzzy clustering on the public health facility data

Samingun Handoyo
, Agus Widodo
, Waego Hadi Nugroho
, Imam N. Purwanto

Faculty of Mathematics and Natural Sciences

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

The government has responsible to make a better life of their society in various aspects of life including a standard level of society public. The research aims to implement combining two fuzzy clustering methods that are Fuzzy Subtractive Clustering and Fuzzy C-Means for clustering public health facility data. The hybrid method can result in the cluster more compactness and more homogenous in membership degree accessed bases on Partition coefficient (PC), Classification Entropy (CE), and Modified of PC and CE (MPC) of cluster validity index.

Original language	English
Article number	135
Pages (from-to)	3549-3554
Number of pages	6
Journal	International Journal of Advanced Trends in Computer Science and Engineering
Volume	8
Issue number	6
DOIs	https://doi.org/10.30534/ijatcse/2019/135862019
Publication status	Published - 1 Nov 2019

Keywords

Fuzzy clustering
Hybrid method
Public health
Validity index

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10.30534/ijatcse/2019/135862019

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AB - The government has responsible to make a better life of their society in various aspects of life including a standard level of society public. The research aims to implement combining two fuzzy clustering methods that are Fuzzy Subtractive Clustering and Fuzzy C-Means for clustering public health facility data. The hybrid method can result in the cluster more compactness and more homogenous in membership degree accessed bases on Partition coefficient (PC), Classification Entropy (CE), and Modified of PC and CE (MPC) of cluster validity index.

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KW - Hybrid method

KW - Public health

KW - Validity index

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The implementation of a hybrid fuzzy clustering on the public health facility data

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Keywords

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