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Q1:Explain the difference between clustering and classification.

Q2:Describe the k-means algorithm.

Q3:Suppose that you are employed as a data-mining consultant for an Internet search engine company. Describe how data mining can help the company by giving specific examples of how techniques, such as clustering, classification, association rule mining, and anomaly detection can be applied.