Parameterization-free clustering with sparse data observers
Given a set of data points, clustering serves to discover groups based on pairwise similarities and the shapes drawn by the data in the feature space. In other words, it is a tool to describe data and reveal their intrinsic nature in terms of patterns or groups. In this paper, we review the methodol...
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Published in | Information systems (Oxford) Vol. 133; p. 102562 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.08.2025
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Subjects | |
Online Access | Get full text |
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