▷ Exercise 20.3.[³, p.291] Explore the properties of the soft K-means algorithm,version 1, assuming that the datapoints {x} come from a single separabletwo-dimensional Gaussian distribution with mean zero and variances(var(x₁), var(x2)) = (0²,0²), with o² > 02. Set K = 2, assume N islarge, and investigate the fixed points of the algorithm as 3 is varied.[Hint: assume that m(¹) = (m, 0) and m(²) = (−m, 0).]

Given,The soft K-means algorithm is a variation of the K-means clustering algorithm that assigns a…

Answered: ▷ Exercise 20.3. [3, p. 291] Explore…

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