K-Medoids Clustering of Data Sequences With Composite Distributions
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DOI: 10.1109/tsp.2019.2901370
Abstract: This paper studies clustering of data sequences using the k-medoids algorithm. All the data sequences are assumed to be generated from unknown continuous distributions, which form clusters with each cluster containing a composite set of… read more here.
Keywords: distance; medoids clustering; distance metric; clustering data ... See more keywords