Question

1.

Clustering is a type of _________ learning.

Select one:

a. unsupervised

b. supervised

2.

_________ is a type of prototype-based clustering technique.

Select one:

a. k-Means

b. DBSCAN

c. Self-Organizing Maps

Answer 1

answer 1- unsupervised.

explanation -

The most well-known type of Solo Learning is Grouping, which includes isolating information dependent on the closeness between information occurrences. K-implies is a famous procedure for Grouping. It includes an iterative cycle to discover group focuses called centroids and allotting information focuses to one of the centroid.

answer 2- k-means.

explanation -

K-Means and K-Medoids are the instances of Model Based Bunching calculations. Diagram Based Groups· Two articles are associated just on the off chance that they are inside a predefined separation of one another.