A Fuzzy Clustering Algorithm of Web Customers Based on Attributes Reduction

Hong Xin Wan; Yun Peng

doi:10.4028/www.scientific.net/AMR.989-994.1775

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994A Fuzzy Clustering Algorithm of Web Customers...

A Fuzzy Clustering Algorithm of Web Customers Based on Attributes Reduction

Abstract:

The evaluation algorithm is based on the attributes of data objects. There is a certain correlation between attributes, and attributes are divided into key attributes and secondary attributes. This paper proposes an algorithm of attribute reduction based on rough set and the clustering algorithm based on fuzzy set. The algorithm of attributes reduction based on rough set is described in detail first. There are a lot of uncertain data of customer clustering, so traditional method of classification to the incomplete data will be very complex. Clustering algorithm based on fuzzy set can improve the reliability and accuracy of web customers.

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

1775-1778

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.1775

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Online since:

July 2014

Authors:

Hong Xin Wan*, Yun Peng

Keywords:

Attribute Reduction, Fuzzy Set, Rough Set (RS), Similarity Relation Matrix

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