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- 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.
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