Ensemble method for cluster number determination and algorithm selection in unsupervised learning [version 1; peer review: 2 approved with reservations, 1 not approved]

Unsupervised learning, and more specifically clustering, suffers from the need for expertise in the field to be of use. Researchers must make careful and informed decisions on which algorithm to use with which set of hyperparameters for a given dataset. Additionally, researchers may need to determin...

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Vydáno v:	F1000 research Ročník 11; s. 573
Hlavní autor:	Zambelli, Antoine
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	2022
Témata:	K-means Gaussian Mixture Number of Clusters Ensemble Consensus Clustering Hierarchical Clustering Spectral Clustering Unsupervised Learning Clustering
ISSN:	2046-1402, 2046-1402
On-line přístup:	Získat plný text
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