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Question 1) In pattern Recognititon subject , Explain 2 category and multi category case of linear discriminant functions.Also explain linear decision bounding for 4 class
Question 1) In pattern Recognititon subject , Explain 2 category and multi category case of linear discriminant functions.Also explain linear decision bounding for 4 class problem with help of suitable diagram.
Question 2) Show the working of K-means clustering algorithm with the help of easy diagram.Explain how the K-means clustering produces a form of stochastic hill climbing in the log likelihood function.
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