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Overview. Isomap and LLELocal geometry derived from k-nearest neighborsrequire dense data points on the manifold for good estimationIsomapGlobal approachPreserve the Geodesic distanceLLELocal approachPreserve linear combination weights. Outline of lecture. Laplacian EigenmapsProblem defini
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1. Manifold learning: Laplacian Eigenmaps