2008-01-24-dimensionality-reduction.md

abstract	author	categories	day	errata	extras	group	key	layout	linkpdf	linksoftware	linkvideo	month	published	section	title	venue	videolectures	year
We approach dimensionality reduction from the perspective of multidimensional scaling. Starting from the basics, we draw the relationship between multidimensional scaling and principal component analysis. From this background we briefly review kernel PCA and Isomap. Finally, we consider the problem of model selection using Gaussian processes.	family given gscholar institute twitter url Lawrence Neil D. r3SJcvoAAAAJ University of Sheffield lawrennd http://inverseprobability.com	Lawrence-data08	24			spectral	Lawrence-data08	talk	ftp://ftp.dcs.shef.ac.uk/home/neil/dataModellingWinter.pdf	http://inverseprobability.com/dimred/	http://videolectures.net/epsrcws08_lawrence_dr/	1	2008-01-24	pre	Dimensionality Reduction	EPSRC Winter School, University of Sheffield, Sheffield, U.K.	epsrcws08_lawrence_dr	2008