Web mining with relational clustering

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Web mining with relational clustering

Clustering is an unsupervised learning method that determines partitions and (possibly) prototypes from pattern sets. Sets of numerical patterns can be clustered by alternating optimization (AO) of clustering objective functions or by alternating cluster estimation (ACE). Sets of non–numerical patterns can often be represented numerically by (pairwise) relations. These relational data sets can ...

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ژورنال

عنوان ژورنال: International Journal of Approximate Reasoning

سال: 2003

ISSN: 0888-613X

DOI: 10.1016/s0888-613x(02)00084-1