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Description: K- means algorithm is a dynamic clustering algorithm, the basic principle of [24] as follows: first of all the predefined class number k, and random or according to certain principle to choose k as a sample as the initial cluster centers Then according to the principle of the nearest to categorize the rest of the samples, it is concluded that an initial classification scheme, and various other calculated mean to update the cluster centers The samples again according to the new clustering center to reclassify, recycling the process, until the clustering center of convergence.
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