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On fuzzy c-means clustering for uncertain data using quadratic regularization of penalty vectors | IEEE Conference Publication | IEEE Xplore

On fuzzy c-means clustering for uncertain data using quadratic regularization of penalty vectors


Abstract:

In recent years, data from many natural and social phenomena are accumulated into huge databases in the world wide network of computers. Thus, advanced data analysis tech...Show More

Abstract:

In recent years, data from many natural and social phenomena are accumulated into huge databases in the world wide network of computers. Thus, advanced data analysis techniques to get valuable knowledge from data using computing power of today are required. Clustering is one of the unsupervised classification technique of the data analysis and both of hard and fuzzy c-means clusterings are the most typical technique of clustering.
Date of Conference: 17-19 August 2009
Date Added to IEEE Xplore: 22 September 2009
Print ISBN:978-1-4244-4830-2
Conference Location: Nanchang, China

References

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