By John A. Lee, Michel Verleysen
This publication describes verified and complex tools for lowering the dimensionality of numerical databases. each one description starts off from intuitive principles, develops the required mathematical information, and ends through outlining the algorithmic implementation. The textual content offers a lucid precis of evidence and ideas in relation to famous tools in addition to contemporary advancements in nonlinear dimensionality relief. tools are all defined from a unifying viewpoint, which is helping to focus on their respective strengths and shortcomings. The presentation will attract statisticians, laptop scientists and information analysts, and different practitioners having a easy heritage in data or computational learning.
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