@article{(Open Science Index):https://publications.waset.org/pdf/7590, title = {A New Algorithm for Cluster Initialization}, author = {Moth'd Belal. Al-Daoud}, country = {}, institution = {}, abstract = {Clustering is a very well known technique in data mining. One of the most widely used clustering techniques is the k-means algorithm. Solutions obtained from this technique are dependent on the initialization of cluster centers. In this article we propose a new algorithm to initialize the clusters. The proposed algorithm is based on finding a set of medians extracted from a dimension with maximum variance. The algorithm has been applied to different data sets and good results are obtained. }, journal = {International Journal of Computer and Information Engineering}, volume = {1}, number = {4}, year = {2007}, pages = {1031 - 1033}, ee = {https://publications.waset.org/pdf/7590}, url = {https://publications.waset.org/vol/4}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 4, 2007}, }