Application of Hard C-Means and Fuzzy C-Means in Data Fusion

Ai Hong Tang; Lian Cai; You Mei Zhang

doi:10.4028/www.scientific.net/AMM.190-191.265

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 190-191Application of Hard C-Means and Fuzzy C-Means in...

Application of Hard C-Means and Fuzzy C-Means in Data Fusion

Abstract:

This article describes two kinds of Fuzzy clustering algorithm based on partition,Fuzzy C-means algorithm is on the basis of the hard C-means algorithm, and get a big improvement, making large data similarity as far as possible together. As a result of Simulation, FCM algorithm has more reasonable than HCM method on convergence, data fusion, and so on.

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Periodical:

Applied Mechanics and Materials (Volumes 190-191)

Pages:

265-268

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.190-191.265

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Online since:

July 2012

Authors:

Ai Hong Tang, Lian Cai, You Mei Zhang

Keywords:

FCM, Fuzzy Clustering, HCM

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