Minkowski distance is generalization of Euclidean distance, L1, and manhattan(or city block) distance, L2. I saw this equation before, but didn’t know its name yet, so I’m writing it here.

http://pages.cs.wisc.edu/~jerryzhu/cs769/em.pdfBy using EM algorithm, one can run naive bayes algorithm with partially labeled data(or with unlabeled data).

While reading books on EDA(Exploratory Data Analysis), one of the interesting things was pseudo sigma. It’s a standard deviation like measure which is resistant to noises or outliers. Simply put, given the first quartile H1 and the third quartile H3, pseudo sigma is (H3-H1)/1.35. Why? It’s because H1= μ – 0.675σ and H3 = μ + 0.675σ if X…