A clustering-quality measure is a function that maps pairs of the form (dataset, clustering) to some ordered set (say, the set of non-negative real numbers), so that these values reflect how 'good' or 'cogent' that clustering is.
A clustering-quality measure is a function that, given a data set and its partition into clusters, returns a non-negative real number representing how strong' ...
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A clustering-quality measure (CQM) is a function that, given a data set and its partition into clusters, returns a non-negative real number representing how ' ...
A theory of proximity based clustering: structure detection by optimization ... Pattern Recognit. 2000.
Dec 8, 2008 · A clustering-quality measure (CQM) is a function that, given a data set and its partition into clusters, returns a non-negative real number ...
Speaker: Rita Ackerman Aiming towards the development of a general clustering theory, we discuss abstract axiomatization for clustering.
A clustering-quality measure (CQM) is a function that, given a data set and its par- tition into clusters, returns a non-negative real number representing how ...
Jun 6, 2022 · Theorem (Consistency of new axioms) Consistency, scale invariance, and richness for clustering quality measures form a consistent set of ...
We analyze what clustering quality measures should look like by introducing a set of requirements ('axioms') of clustering quality measures. We propose quality ...
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Given a set of objects, clustering refers to the act of grouping ... Quality: A Working Set of Axioms for Clustering. ... properties of clustering quality measures ...