A Modified Fuzzy Clustering With Validation in Web Usage Mining

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Provided by: IJCITB
Topic: Big Data
Format: PDF
Many clustering is a useful technique for the discovery of data distribution and patterns in the underlying data. The goal of clustering is to discover both the dense and the sparse regions in a data set. The process of grouping a set of physical or abstract objects into classes of similar objects is called clustering. A cluster is a collection of data objects that are similar to one another within the same cluster and are dissimilar to the objects in other clusters.
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