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10000CS467122101

PART 0

Answer any two full questions, each carries 12 marks.
Summarize the random forest algorithm.
Define a kernel function. Give an example.
Explain the kernel trick in context of support vector machines? How is it used
to find a SVM classifier.
Outline K-means algorithm. Apply k-means clustering algorithm to divide the
following data into two clusters and also compute the representative data points

for the clusters. Arbitrary cluster centers are (2,1) and (2,3).

Discuss the pros and cons of HMM.

Summarize the DBSCAN algorithm for clustering.

‎KK‏ ید یبد

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