Clustering Assessment Tendency for Big Data Analytics Extract Useful Knowledge

Year 2019, Volume: 14, 25 - 32, 27.03.2019

Soraya Sedkaoui Salim Moualdi

Abstract

Clustering Assessment Tendency for Big Data Analytics Extract Useful Knowledge

Abstract

Abstract

The
clustering method is one of the important methods that can be used to analyze
the big volume of data that should be grouped accordingly as much as possible.
Depending on the characteristics of the data available today and to deal with
big data challenges, several clustering methods have been developed. But, in
many situations, we cannot know a priori the number of clusters in the dataset.
This refers to an important problem in cluster analysis or determining the
numbers of clusters. In this context, this paper describes some clustering
methods, with special attention to the Visual Assessment Tendency (VAT)
algorithm as one of the known methods. This algorithm is implemented in
advanced technologies to analyze big data.

Keywords: Big data, clustering tendency, k-means, knowledge, visual assessment algorithm.

JEL Codes: C10, C38

Keywords

Big data, clustering tendency, k-means, knowledge, visual assessment algorithm

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