May 2015
Intermediate to advanced
246 pages
6h 33m
English
book
A Sampler of Useful Computational Tools for Applied Geometry, Computer Graphics, and Image Processing
by Daniel Cohen-Or, Chen Greif, Tao Ju, Niloy J. Mitra, Ariel Shamir, Olga Sorkine-Hornung, Hao Zhang
Content preview from A Sampler of Useful Computational Tools for Applied Geometry, Computer Graphics, and Image Processing
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Chapter 9
Dimensionality Reduction
Hao (Richard) Zhang and Daniel Cohen-Or
In this chapter, we learn the concept, usefulness, and execution of
dimensionality reduction. This important topic has been exten-
sively studied in different disciplines. A large variety of techniques
have been developed and there have been numerous articles in the
literature including several accessible surveys [BDR
+
06, HLMS04]
and even books [CC94, STC04]. Here we shall present and discuss
only a sampler of techniques and illuminate them using visually
intuitive examples.
Generally speaking, dimensionality reduction seeks to reduce
the dimensionality of a given data set, mapping ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.