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Scientific Programming
/
2015
/
Article
/
Alg 1
Research Article
Parallel Framework for Dimensionality Reduction of Large-Scale Datasets
Algorithm 1
Spectral dimensionality reduction.
Input
: Set
,
, and the target dimension
.
Output
: Set
,
.
(1) For each
find its
nearest neighbors.
(2) Define directed weighted graph
,
where
iff
is a neighbor of
,
and
is a distance measure,
usually
.
(3) Let
, where
extracts specific property
from graph
.
(4) Normalize
to obtain matrix
.
(5) Find eigenvectors of
,
.
(6) Identify latent dimensionality
.
(7)
is represented by the first
rows of
.