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this is a very good code for k means clustering. works quite fast. can download for school assignments.
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基于改进K-means的压缩IP
由于k-means本身受异常点影响较大，这里采用迭代k-means的方法，降低异常点的影响，减少计算量和提高聚类数目的灵活性。并添加合并异常聚类方法，提高聚类的均匀性-K-means based on improved compression IP
As k-means itself is influenced by outliers, where an iterative k-means method to reduce the impact of o
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applied k means clustering for vector quanta and
used huffman for image compression matlab code
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K-means algorithm
It is useful for clustering sample data
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dynamic time kmean kernel algorithm
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