(a) Linear discriminant analysis (LDA) and Support Vector Machines (SVM) are both used for classifications Briefly explain the basic idea used in these methods and how they differ b) What are the main differences of Supervised and Unsupervised Learning approaches Explain the basic idea in K Means clustering and how we can utilize the conclusions arrived

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Question: (a) Linear discriminant analysis (LDA) and Support Vector Machines (SVM) are both used for classifications. Briefly explain the basic idea used in these methods and

(a)

Linear discriminant analysis (LDA) and Support Vector Machines (SVM) are both used for classifications. Briefly explain the basic idea used in these methods and how they differ?

What are the main differences of Supervised and Unsupervised Learning approaches. Explain the basic idea in K-Means clustering and how we can utilize the conclusions arrived.

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