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A Principled and Flexible Framework for Finding Alternative Clusterings
Ian Davidson
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Oznake: computer science;machine learning;clustering
The aim of data mining is to find novel and actionable insights in data. However, most algorithms typically just find a single (possibly non-novel/actionable) interpretation of the data even though alternatives could exist. The problem of finding an alternative to a given original clustering has rec ...
Leto: 2009 Vir: videolectures.net
Št. zadetkov: 1
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