Hierarchical clustering: Objective functions and algorithms
<p>Hierarchical clustering is a recursive partitioning of a dataset into clusters at an increasingly finer granularity. Motivated by the fact that most work on hierarchical clustering was based on providing algorithms, rather than optimizing a specific objective, Dasgupta (2016) framed similar...
| Main Authors: | , , , |
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| Format: | Conference item |
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Society for Industrial and Applied Mathematics
2018
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