Mohammed El Agha

Work place: Islamic University of Gaza, Gaza, Palestine



Research Interests: Computational Engineering, Computer systems and computational processes, Theoretical Computer Science, Engineering


Mohammed Z. El Agha was born in Gaza, Palestine in 1980. He received his B.Sc. from Arab Academy For Science And Technology Alexandria, Egypt in 2002. He worked For General personnel Council as a computer Engineer from 2003 to 2006. During this period he developed a complete information system for the Palestinian National Authority that serve more than 60000 employee in the civil service. From 2006 till now he worked as Deputy Director-General of computer and information general department at General Personnel council.

Author Articles
Efficient and Fast Initialization Algorithm for Kmeans Clustering

By Mohammed El Agha Wesam M. Ashour

DOI:, Pub. Date: 8 Feb. 2012

The famous K-means clustering algorithm is sensitive to the selection of the initial centroids and may converge to a local minimum of the criterion function value. A new algorithm for initialization of the K-means clustering algorithm is presented. The proposed initial starting centroids procedure allows the K-means algorithm to converge to a “better” local minimum. Our algorithm shows that refined initial starting centroids indeed lead to improved solutions. A framework for implementing and testing various clustering algorithms is presented and used for developing and evaluating the algorithm.

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