KNN & Clustering

Which of the following is true about Manhattan distances?

• It can be used for continuous variables

• It can be used for categorical variables

• It can be used for categorical as well as continuous variables

K-Nearest Neighbours (KNN) algorithm is a /an :

• Unsupervised learning method

• Supervised learning method

• Semi-supervised learning method

• None of the above

Considering the K-means algorithm, after current iteration, we have 3 centroids

(0, 1) (2, 1), (-1, 2). Will points (2, 3) and (2, 0.5) be assigned to the same cluster in the next iteration?

• YES

• NO