Reducing the dimensionality of a data matrix of smiley vectors allows us to visualize smiley face features in two dimensions. Yay!
Thursday, October 09, 2008
Smiley Value Decomposition
For an assignment in my machine learning course I performed principal components analysis (PCA) using singular value decomposition (SVD) on some smiley faces:
Reducing the dimensionality of a data matrix of smiley vectors allows us to visualize smiley face features in two dimensions. Yay!
Reducing the dimensionality of a data matrix of smiley vectors allows us to visualize smiley face features in two dimensions. Yay!
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