Question

With respect to k-means clustering, which of the following are the correct descriptions of the expectation (E) and maximization (M) steps respectively? A) E-step: assign points to nearest cluster center, M-step: estimate model parameters that maximize the likelihood for the given assignment of points. B) E-step: estimate model parameters that maxim, ize the likelihood for the given assignment of points, M-step: assign points to nearest clustercenter. C) None of A or B. D) Both A and B

Answer 1

none of a and b.............

Answer 2

The answer is b) estimating the parameters of the model and then maximizing the likelihood getting a certain pattern or statistical data regarding the overall clustering of the components of a set.

The distance functioning and multiple type of optimization regarding the component of clusters must be done well in advance to get an idea about the set.