Cepy  Slamet, Wahyudin  Darmalaksana, Muhammad Ali  Ramdhani, Ali  Rahman, 
    Clustering the Verses of the Holy Qur’an Using K-Means Algorithm,
    Asian Journal of Information Technology,
    Volume 15,Issue 24,
    2016,
    Pages 5159-5162,
    ISSN 1682-3915,
    ajit.2016.5159.5162,
    (https://makhillpublications.co/view-article.php?doi=ajit.2016.5159.5162)
    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 study 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.
    Keywords: K-means algorithm;clustering;text mining;data mining;The Holy Qur`an