Analyzing Stock Market Data Using Clustering Algorithm

Abstract

In order to analyze the various sectors of the stocks in stock market field, need to use machine learning algorithms to determine the particular sectors of the stocks in intraday trade. In this paper, we compared different types of clustering algorithm with the help of data mining tool WEKA. This paper will demonstrate the strength and accuracy of each algorithm for clustering in terms of performance, efficiency and time complexity required.