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Abstract:
Locally Linear Embedding (LLE) is an elegant nonlinear
dimensionality-reduction technique recently introduced by Roweis
and Saul [2]. It fails when the data is divided into separate
groups. We study a variant of LLE that can simultaneously group
the data and calculate local embedding of each group. An estimate
for the upper bound on the intrinsic dimension of the data set is
obtained automatically.
References
[2] S. T. Roweis, L. K. Saul,
Science
, 290, p. 2323-2326, (2000).
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