By programming K- means algorithm implementation, strengthen understanding and awareness of the algorithm. Improve their level of knowledge and programming skills, understanding of pattern recognition in life. The main idea thought K- means algorithm is the first in the classification of the data needed to find K sets of data as the initial cluster centers, and other data to calculate the distance the cluster center of the three, the data included in its closest poly class center, after which the K clustering of these data to calculate the mean, as a new cluster centers, continue the above steps until the new cluster centers and cluster centers on a value equal to the end of the algorithm.

k-junzhi.docx

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