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Merging $K$-means with hierarchical clustering for identifying general-shaped groups
For instance, hierarchical clustering identifies groups in a tree-like structure but suffers from computational complexity in large datasets while $K$-means clustering is efficient but designed to identify homogeneous spherically-shaped clusters.
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Speech Synthesis
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