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Unsupervised Learning HT26
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Matematisk statistik HT26
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MT7050 HT26
Lecture 9: Oct 2
An introduction to diffusion maps, de la Porte et ...
An introduction to diffusion maps, de la Porte et al. 2008
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IntroDiffusionMap_PRASA_2008.pdf
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◄ Laplacian eigenmaps for dimensionality reduction and data representation, Belkin & Niyogi 2003
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Grading criteria
Book ESL: The Element of Statistical Learning, Hastie et al., 2nd Ed
Book PRML: Pattern Recognition and Machine Learning, Bishop 2006
Book NDR: Nonlinear Dimensionality Reduction, Lee & Verleysen 2007
KPCA: Concentric circle example
Lecture note
Intuitive introduction to monotonic regression
A tutorial on spectral clustering, von Luxburg, 2006
Spectral Clustering Example
Laplacian eigenmaps for dimensionality reduction and data representation, Belkin & Niyogi 2003
A global geometric framework for nonlinear dimensionality reduction, Tenenbaum et al. 2000
Nonlinear dimensionality reduction by locally linear embedding, Roweis & Saul 2000
A density-based algorithm for discovering clusters in large spatial databases with noise, Ester et al. 1996
Clustering by fast search and find of density peaks, Rodriguez & Laio 2014
Lecture Notes - DBSCAN
A global geometric framework for nonlinear dimensionality reduction, Tenenbaum et al. 2000 ►