Questions
Multiple choice
In k-means clustering, what is the primary goal of the algorithm? (you can choose more than one)
Options
A.a. To partition the data into clusters such that intra-cluster similarity is high and inter-cluster similarity is low
B.b. To maximise the distance between all data points
C.c. To identify outliers in the dataset
D.d. To reduce the dimensionality of the dataset
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Step-by-Step Analysis
The question asks about the primary goal of k-means clustering and allows selecting more than one option.
Option a: 'To partition the data into clusters such that intra-cluster similarity is high and inter-cluster similarity is low' — This is indeed the core objective of k-means. The algori......Login to view full explanationLog in for full answers
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