A k-means-type algorithm is proposed for efficiently clustering data constrained to lie on the surface of a p-dimensional unit sphere, or data that are mean-zero-unit-variance standardized ...
Data residing in small chips and hard disks are so much huge that they cannot be easily analyzed manually. So to access useful and knowledgeable information, one has to go beyond human’s reach and ...
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