An Efficient Grid-Based K-Prototypes Algorithm for Sustainable Decision-Making on Spatial Objects

Data mining plays a critical role in sustainable decision-making. Although the k-prototypes algorithm is one of the best-known algorithms for clustering both numeric and categorical data, clustering a large number of spatial objects with mixed numeric and categorical attributes is still inefficient...

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Veröffentlicht in:	Sustainability 2018-07, Vol.10 (8), p.2614
Hauptverfasser:	Jang, Hong-Jun, Kim, Byoungwook, Kim, Jongwan, Jung, Soon-Young
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Clustering Data processing Decision making Dependence Prototypes Pruning Spatial data Sustainability
Online-Zugang:	Volltext
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