Clustering the Verses of the Holy Qur'an using K-Means Algorithm

Abstract

The Holy Qur’an is a basic living guidance for Muslims. The depth of the sea of knowledge in the Holy Qur’an gives its own attractiveness to many researcher to conduct exploration involving automated application. This article provides a practical works of text mining applied as an initial route which begin with some Qur’anic structures phenomenon by clustering the verses. K-means algorithm has been applied to clustering experiment in a framework of text mining. This study resulted the total of 6236 verses (data corpus), using unsteamed and steamed words which then establish three clusters.