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Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	Mai 2024
Genre:	Schulbücher
	Cartography / environmental science, engineering & technology / Environmental science, engineering and technology / Geochemistry / Geographical information systems (GIS) & remote sensing / Geographical information systems, geodata and remote sensing / hierarchical methods / Human Geography / MATHEMATICS / Probability & Statistics / General / multidimensional scaling / partitioning algorithms / Principal Component Analysis / Probability & statistics / Probability and statistics / SCIENCE / Earth Sciences / Geology / SOCIAL SCIENCE / Human Geography / Spatial Statistics / spatially constrained clustering techniques / TECHNOLOGY & ENGINEERING / Environmental / General / Unsupervised Learning mehr...
ISBN:	9781032713021
EAN-Code:	9781032713021
Verlag:	Taylor and Francis
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 254 mm / B 178 mm / D
Gewicht:	680 gr
Seiten:	210
Illustration:	schwarz-weiss Illustrationen, farbige Illustrationen, Raster, farbig, Zeichnungen, schwarz-weiss, Zeichnungen, farbig
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book is the second in a two-volume series that introduces the field of spatial data science. It moves beyond pure data exploration to the organization of observations into meaningful groups, i.e., spatial clustering. This constitutes a major aspect of modern machine learning.