Incremental MVS based Clustering Method for Similarity Measurement

Provided by: Creative Commons
Topic: Big Data
Format: PDF
As the amount of digital documents has been increasing dramatically over the years as the Internet grows, information management, search, and retrieval, etc., have become practically important problems. Identification of similar and dissimilar attributes is a challenging task. There have been many clustering algorithms published to identify the similarity between the elements in the given data set. The goal of cluster analysis is to partition a data set of N objects into subgroups such that those in each particular group are more similar to each other than to those of other groups this similarity between a pair of objects can be defined either explicitly or implicitly.

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