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Explain K-mean clustering algorithm giving suitable example.
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Solution:

k-means clustering:

The k-means clustering method is an unsupervised machine learning technique used to identify clusters of data objects in a dataset.

There are many different types of clustering methods, but k-means is one of the oldest and most approachable.

These traits make implementing k-means clustering in Python reasonably …

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