Explanation:k-nearest neighbor has nothing to do with k-means. 6. Which of the following combination is incorrect ?
A. Continuous – euclidean distance
B. Continuous – correlation similarity
C. Binary – manhattan distance
D. None of the Mentioned
Answer:A
Explanation:k-nearest neighbor has nothing to do with k-means. 6. Which of the following combination is incorrect ?
A. Continuous – euclidean distance B. Continuous – correlation similarity C. Binary – manhattan distance D. None of the Mentioned
Explanation:You should choose a distance/similarity that makes sense for your problem. 7. Hierarchical clustering should be primarily used for exploration.