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IJSTR >> Volume 8 - Issue 8, August 2019 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Journey Of CFBA Variants With Advancement In Text-Mining And Subspace-Clustering

[Full Text]

 

AUTHOR(S)

Preeti Mulay, Rahul Raghvendra Joshi

 

KEYWORDS

Incremental-clustering, closeness, correlation, incremental-learning, distributed algorithms, sub-space clustering,CFBA

 

ABSTRACT

Many professional data-clustering algorithms in history and in use today have dependency on varied inputs from the user. Any wrong input by user may hamper the quality of clusters. With the advent of Internet-of-Things (IoT) in particular and Information-Technology in general, huge amount of data is getting produced in real time consistently. To handle such huge data, and to produce quality clusters iteratively, parameter-free incremental-clustering algorithm was a need of an hour. With this background the first Closeness-Factor-Based-Algorithm (CFBA) was in 2013 and evolved thereafter consistently. This paper is the amalgamation of all variants of CFBA, its progress, its relevance in the real world and the attempt to further propose few more new variants of CFBA in the fields of text-mining and sub-space clustering. The distributed versions of CFBA are successfully implemented using platforms like Azure, AWS and Map-Reduce, to name a few.

 

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