We will implement the K-means algorithm and use it for image compression. We will first start on an example 2D dataset that help to gain an intuition of how k-menas algorithm works. After that, we wil ...
% H = PCA_EXAMPLE_GUI_2D returns the handle to a new PCA_EXAMPLE_GUI_2D or the handle to % the existing singleton*. % PCA_EXAMPLE_GUI_2D('CALLBACK',hObject,eventData,handles,...) calls the local % ...
Dimensionality reduction techniques like PCA work wonderfully when datasets are linearly separable—but they break down the moment nonlinear patterns appear. That’s exactly what happens with datasets ...
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