What are the disadvantages of using K - Means clustering (select all that apply)?   Group of answer choices a. Choosing k value manually b. It is often slow c. It highly depends on Initial values d. Clustering outliers

Which statement best describes k-means cluster analysis?   Question 9 options:   It is the process of organizing observations into distinct groups based on a measure of similarity or dissimilarity.   It is the process of agglomerating observations into a series of nested groups based on a measure of similarity or dissimilarity.   It is the process of reducing the number of variables to consider in data-mining.    It is the process of estimating the value of a continuous outcome variable.

Suppose you were given two sequences, S1 and S2 of n elements, possibly containing duplicates, on which a total order relation is defined. Describe an efficient algorithm for determining if S1 and S2 contain the same set of elements. Analyze the running time of this method.