Implementation of the Fuzzy C-Means Clustering Algorithm in Meteorological Data

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Provided by: Science & Engineering Research Support soCiety (SERSC)
Topic: Data Management
Format: PDF
An improved fuzzy c-means algorithm is put forward and applied to deal with meteorological data on top of the traditional fuzzy c-means algorithm. The proposed algorithm improves the classical Fuzzy C-Means algorithm (FCM) by adopting a novel strategy for selecting the initial cluster centers, to solve the problem that the traditional Fuzzy C-Means (FCM) clustering algorithm has difficulty in selecting the initial cluster centers. Furthermore, this paper introduces the features and the mining process of the open source data mining platform WEKA, while it doesn't implement the FCM algorithm.
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