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In data mining and machine learning, -flat … In data mining and machine learning, -flats algorithm is an iterative method which aims to partition observations into clusters where each cluster is close to a -flat, where is a given integer. It is a generalization of the -means algorithm. In -means algorithm,clusters are formed in the way that each cluster is close to one point, which is a -flat. -flats algorithm gives better clustering result than -means algorithmfor some data set.lt than -means algorithmfor some data set.
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rdfs:comment |
In data mining and machine learning, -flat … In data mining and machine learning, -flats algorithm is an iterative method which aims to partition observations into clusters where each cluster is close to a -flat, where is a given integer. It is a generalization of the -means algorithm. In -means algorithm,clusters are formed in the way that each cluster is close to one point, which is a -flat. -flats algorithm gives better clustering result than -means algorithmfor some data set.lt than -means algorithmfor some data set.
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rdfs:label |
K q-flats
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