Using model parameters for dimensionality reduction

1. GMM in Data
About it:
•Each point represents a single component of the GMM, though three GMM components were used to fit each row.
•Color is associated with GMM component sorted per GMM in descending order of weight. When a blue point is higher –that is because the green associated with it is lower, and the red is lower still.
•Each component was derived from ~1200 distinct features –each row has ~1200 columns
Observations:
•The 3 components yield 3 clean “modes” in the component space.
•Typical values can be determined from “clouds”.
01002003004000.10.20.30.40.5Mean Weight 010020030040001000200030004000Mean Sigma 010002000300040000.10.20.30.40.5Sigma Weight 020040002000400000.51MeanSigma Weight