Question: 1. (20 points) In I-II, select the correct option(s) (it is not necessary to explain). I. Select all the option(s) that correspond to supervised-learning algorithms:

1. (20 points) In I-II, select the correct option(s) (it is not necessary to explain). I. Select all the option(s) that correspond to supervised-learning algorithms: (a) k-Means (b) Linear discriminant analysis (c) Mixture of gaussians (d) Linear regression (e) Gaussian discriminant II. Select all the option(s) which correspond to clustering algorithms: (a) k-Means (b) Principal component analysis (c) Mixture of gaussians (d) Linear regression (e) Gaussian discriminant
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