I believe I described PCA accurately, so could you elaborate which part of my statement is wrong?
> extracting features to artificially cluster points along the most characteristic axes is what PCA is for
How is the clustering "artificial"? Because if you generate data without clusters (e.g. points evenly distributed within a sphere), applying PCA to it won't show clusters either.
I believe I described PCA accurately, so could you elaborate which part of my statement is wrong?
> extracting features to artificially cluster points along the most characteristic axes is what PCA is for
How is the clustering "artificial"? Because if you generate data without clusters (e.g. points evenly distributed within a sphere), applying PCA to it won't show clusters either.