Web Document Clustering Using Fuzzy Equivalence Relations
نویسنده
چکیده
Conventional clustering means classifying the given data objects as exclusive subsets (clusters).That means we can discriminate clearly whether an object belongs to a cluster or not. However such a partition is insufficient to represent many real situations. Therefore a fuzzy clustering method is offered to construct clusters with uncertain boundaries and allows that one object belongs to overlapping clusters with some membership degree. In other words, the essence of fuzzy clustering is to consider not only the belonging status to the clusters, but also to consider to what degree do the object belong to the cluster. In this paper, a technique called “Retrieval of Web documents using a fuzzy hierarchical clustering” is being proposed that creates the clusters of web documents using fuzzy hierarchical clustering.
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