Review paper

A Tabu search based clustering algorithm and its parallel implementation on Spark

Volume: 63, Pages: 97 - 109
Published: Feb 1, 2018
Abstract
The well-known K-means clustering algorithm has been employed widely in different application domains ranging from data analytics to logistics applications. However, the K-means algorithm can be affected by factors such as the initial choice of centroids and can readily become trapped in a local optimum. In this paper, we propose an improved K-means clustering algorithm that is augmented by a Tabu Search strategy, and which is better adapted to...
Paper Details
Title
A Tabu search based clustering algorithm and its parallel implementation on Spark
Published Date
Feb 1, 2018
Volume
63
Pages
97 - 109
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