Constructing Interactive Visual Classification, Clustering and Dimension Reduction Models for n-D Data

Constructing Interactive Visual Classification, Clustering and Dimension Reduction Models for n-D Data

Abstract: The exploration of multidimensional datasets of all possible sizes and dimensions is a long-standing challenge in knowledge discovery, machine learning, and visualization. While multiple efficient visualization methods for n-D data analysis exist, the loss of information, occlusion, and cl...

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Autors principals: Boris Kovalerchuk, Dmytro Dovhalets
Format: Article
Idioma:English
Publicat: MDPI AG 2017-07-01
Col·lecció:Informatics
Matèries:
interactive visualization
classification
clustering
dimension reduction
multidimensional visual analytics
machine learning
knowledge discovery
linear relations
Accés en línia:https://www.mdpi.com/2227-9709/4/3/23

Internet

https://www.mdpi.com/2227-9709/4/3/23

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