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Course 3413 — Group Representations Sample Paper II Dr Timothy Murphy December 2010 Attempt 6 questions. (If you attempt more, only the best 6 will be counted.) All questions…

Documents E.G.M. PetrakisDimensionality Reduction1 Given N vectors in n dims, find the k most important axes....

Slide 1 E.G.M. PetrakisDimensionality Reduction1  Given N vectors in n dims, find the k most important axes to project them  k is user defined (k < n)  Applications:…

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Dimensionality Reduction Haiqin Yang Outline Dimensionality reduction vs. manifold learning Principal Component Analysis (PCA) Kernel PCA Locally Linear Embedding (LLE) Laplacian…

Documents Dimensionality Reduction

Dimensionality Reduction Given N vectors in n dims, find the k most important axes to project them k is user defined (k < n) Applications: information retrieval &…