Use sklearn PCA to reduce dimensions of data matrix after featurization. Will allow for faster clustering.
Adjust whitening and PCA functions into a single function that takes number of components and a boolean for whitening as parameters. Basically make this a wrapper of the sklearn function that does the data transforming all in one step.
Use sklearn PCA to reduce dimensions of data matrix after featurization. Will allow for faster clustering. Adjust whitening and PCA functions into a single function that takes number of components and a boolean for whitening as parameters. Basically make this a wrapper of the sklearn function that does the data transforming all in one step.