Computer Science, asked by ayushsachanrock, 6 months ago


Q.43 :-Suppose we would like to perform clustering on spatial data such as the
geometrical locations of houses. We wish to produce clusters of many different sizes
and shapes. Which of the following methods is the most appropriate?
Sec​

Answers

Answered by Sabariesh
0

Answer:

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Explanation:

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Answered by kartavyaguptasl
0

Answer:

The correct answer for the required clustering will be density based clustering.

Explanation:

For clustering of data, we follow the elements of unsupervised learning. Density-based clustering is one such method of clustering in unsupervised learning in which different groups of data clusters are identified and it is based on ideas of separating the region of clusters of high density points from the region of low density points.

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