An Introduction to Locally Linear Embedding
mixture models for local dimensionality reduction[5, 6], which cluster the data and perform PCA within each cluster, do not address the problem considered here— namely, how to map high dimensional data into a single global coordinate system of lower dimensionality. In this paper, we review the LLE algorithm in its most basic form and illustrate a
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