Selection of the Number of Neighbours of Each Data Point for the Locally Linear Embedding Algorithm

Abstract

This paper deals with a method, called locally linear embedding. It is a nonlinear dimensionality reduction technique that computes low-dimensional, neighbourhood preserving embeddings of high dimensional data and attempts to discover nonlinear structure in high dimensional data. The implementation of the algorithm is fairly straightforward, as the… (More)

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