Structured clustering representations and methods

Rather than designing focused experiments to test individual hypotheses, scientists now commonly acquire measurements using massively parallel techniques, for post hoc interrogation. The resulting data is both high-dimensional and structured, in that observed variables are grouped and ordered into r...

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Bibliographic Details
Main Author: Heilbut, Adrian Mark
Language:en_US
Published: 2016
Subjects:
Online Access:https://hdl.handle.net/2144/17054