COPS: Cluster optimized proximity scaling

COPS: Cluster optimized proximity scaling

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Proximity scaling (i.e., multidimensional scaling and related methods) is a versatile statistical method whose general idea is to reduce the multivariate complexity in a data set by employing suitable proximities between the data points and finding low-dimensional configurations where the fitted...

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Bibliographic Details
Main Authors: Rusch, Thomas, Mair, Patrick, Hornik, Kurt
Format: Others
Language:en
Published: WU Vienna University of Economics and Business 2015
Subjects:
RVK 840
proximity scaling / multidimensional scaling / nonlinear dimension reduction / similarity / OPTICS cordillera / c-clusteredness / c-structuredness / clusteredness index / cluster optimized loss
Online Access:http://epub.wu.ac.at/4476/1/cops.pdf

Internet

http://epub.wu.ac.at/4476/1/cops.pdf

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