Comparison of mini-models based on various clustering algorithms

The article deals with the subject of mini-models (MMs) based on clustering algorithms. The mini-model method is a local regression algorithm that operates on some part of the input space called the mini-model domain (MM domain). MM domain can be created as a multidimensional polytope in the input s...

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Veröffentlicht in:	Procedia computer science Jg. 176; S. 3563 - 3570
1. Verfasser:	Pietrzykowski, Marcin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 2020
Schlagworte:	clustering methods function approximation instance-based learning local self-learning mini-model clustering methods local self-learning function approximation instance-based learning mini-model
ISSN:	1877-0509, 1877-0509
Online-Zugang:	Volltext
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