Some Improvements of Fuzzy Clustering Algorithms Using Picture Fuzzy Sets and Applications for Geographic Data Clustering

This paper summarizes the major findings of the research project under the code name QG.14.60. The research aims to enhancement of some fuzzy clustering methods by the mean of more generalized fuzzy sets. The main results are: (1) Improve a distributed fuzzy clustering method for big data using pi...

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Main Authors: Nguyen, Dinh Hoa, Le, Hoang Son, Pham, Huy Thong
Format: Article
Language:English
Published: ĐHQGHN 2017
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Online Access:http://repository.vnu.edu.vn/handle/VNU_123/56937
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Institution: Vietnam National University, Hanoi
Language: English
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spelling oai:112.137.131.14:VNU_123-569372018-07-12T02:08:36Z Some Improvements of Fuzzy Clustering Algorithms Using Picture Fuzzy Sets and Applications for Geographic Data Clustering Nguyen, Dinh Hoa Le, Hoang Son Pham, Huy Thong Spatial clustering fuzzy clustering distributed clustering picture fuzzy set weather nowcasting spatio-temporal regression. This paper summarizes the major findings of the research project under the code name QG.14.60. The research aims to enhancement of some fuzzy clustering methods by the mean of more generalized fuzzy sets. The main results are: (1) Improve a distributed fuzzy clustering method for big data using picture fuzzy sets; design a novel method called DPFCM to reduce communication cost using the facilitator model (instead of the peer-to-peer model) and the picture fuzzy sets. The experimental evaluations show that the clustering quality of DPFCM is better than the original algorithm while ensuring reasonable computational time. (2) Apply picture fuzzy clustering for weather nowcasting problems in a novel method called PFS-STAR that integrates the STAR technique and picture fuzzy clustering to enhance the forecast accuracy. Experimental results on the satellite image sequences show that the proposed method is better than the related works, especially in rain predicting. (3) Develop a GIS plug-in software that implemented some improved fuzzy clustering algorithms. The tool supports access to spatial databases and visualization of clustering results in thematic map layers. 2017-08-15T03:28:50Z 2017-08-15T03:28:50Z 2016 Article Nguyen, D. Hoa, Le, H. Son, Pham, H. Thong. (2016). Some Improvements of Fuzzy Clustering Algorithms Using Picture Fuzzy Sets and Applications for Geographic Data Clustering. VNU Journal of Science, Comp. Science & Com. Eng., Vol. 32, No. 3 (2016) 32-38. 0866-8612 http://repository.vnu.edu.vn/handle/VNU_123/56937 en Journal of Comp. Science & Com. Eng. application/pdf ĐHQGHN
institution Vietnam National University, Hanoi
building VNU Library & Information Center
country Vietnam
collection VNU Digital Repository
language English
topic Spatial clustering
fuzzy clustering
distributed clustering
picture fuzzy set
weather nowcasting
spatio-temporal regression.
spellingShingle Spatial clustering
fuzzy clustering
distributed clustering
picture fuzzy set
weather nowcasting
spatio-temporal regression.
Nguyen, Dinh Hoa
Le, Hoang Son
Pham, Huy Thong
Some Improvements of Fuzzy Clustering Algorithms Using Picture Fuzzy Sets and Applications for Geographic Data Clustering
description This paper summarizes the major findings of the research project under the code name QG.14.60. The research aims to enhancement of some fuzzy clustering methods by the mean of more generalized fuzzy sets. The main results are: (1) Improve a distributed fuzzy clustering method for big data using picture fuzzy sets; design a novel method called DPFCM to reduce communication cost using the facilitator model (instead of the peer-to-peer model) and the picture fuzzy sets. The experimental evaluations show that the clustering quality of DPFCM is better than the original algorithm while ensuring reasonable computational time. (2) Apply picture fuzzy clustering for weather nowcasting problems in a novel method called PFS-STAR that integrates the STAR technique and picture fuzzy clustering to enhance the forecast accuracy. Experimental results on the satellite image sequences show that the proposed method is better than the related works, especially in rain predicting. (3) Develop a GIS plug-in software that implemented some improved fuzzy clustering algorithms. The tool supports access to spatial databases and visualization of clustering results in thematic map layers.
format Article
author Nguyen, Dinh Hoa
Le, Hoang Son
Pham, Huy Thong
author_facet Nguyen, Dinh Hoa
Le, Hoang Son
Pham, Huy Thong
author_sort Nguyen, Dinh Hoa
title Some Improvements of Fuzzy Clustering Algorithms Using Picture Fuzzy Sets and Applications for Geographic Data Clustering
title_short Some Improvements of Fuzzy Clustering Algorithms Using Picture Fuzzy Sets and Applications for Geographic Data Clustering
title_full Some Improvements of Fuzzy Clustering Algorithms Using Picture Fuzzy Sets and Applications for Geographic Data Clustering
title_fullStr Some Improvements of Fuzzy Clustering Algorithms Using Picture Fuzzy Sets and Applications for Geographic Data Clustering
title_full_unstemmed Some Improvements of Fuzzy Clustering Algorithms Using Picture Fuzzy Sets and Applications for Geographic Data Clustering
title_sort some improvements of fuzzy clustering algorithms using picture fuzzy sets and applications for geographic data clustering
publisher ĐHQGHN
publishDate 2017
url http://repository.vnu.edu.vn/handle/VNU_123/56937
_version_ 1680967741311287296