Study on Fuzzy Clustering Algorithm of Spatial Data Mining

Abstract:

With rapid development of space information crawl technology, different types of spatial database and data size of spatial database increases continuously. How to extract valuable information from complicated spatial data has become an urgent issue. Spatial data mining provides a new thought for solving the problem. The paper introduces fuzzy clustering into spatial data clustering field, studies the method that fuzzy set theory is applied to spatial data mining, proposes spatial clustering algorithm based on fuzzy similar matrix, fuzzy similarity clustering algorithm. The algorithm not only can solve the disadvantage that fuzzy clustering cant process large data set, but also can give similarity measurement between objects.

• Periodical: Applied Mechanics and Materials (Volumes 416-417)
• Pages: 1244-1250
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.416-417.1244
• Online since: September 2013
• Authors: Ting Ting Zhao
• Keywords: Fuzzy Clustering, Spatial Clustering, Spatial Data Mining, Spatial Similarity Group Clustering

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