Challenge

Unsupervised Learning - Kmeans Week 11 Challenge

1. The simplest way to find similarity between two categorical
attributes is to assign a similarity of 1 if the values
are identical and similarity of 0 if the values are
not identical. For two multivariate categorical data
points, the similarity between them will be directly
proportional to the number of attributes in which they
match. This simple measure is also known as the overlap
measure in the literature

2.

with the help of elbow curve, it is found that the car dataset best cluster group is 3

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