Isolation forests and landmarking-based representations for clustering algorithm recommendation using meta-learning

The data clustering problem can be described as the task of organizing data into groups, where in each group the objects share some similar attributes. Most of the problems clustering algorithms address do not have a prior solution. This paper addresses the algorithm selection challenge for data clu...

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Veröffentlicht in:	Information sciences Jg. 574; S. 473 - 489
Hauptverfasser:	Gabbay, Itay, Shapira, Bracha, Rokach, Lior
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.10.2021
Schlagworte:	Algorithm selection Clustering Dataset embedding Meta-knowledge Meta-learning systems Problem characterization Algorithm selection Dataset embedding Meta-learning systems Clustering Meta-knowledge Problem characterization
ISSN:	0020-0255, 1872-6291
Online-Zugang:	Volltext
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