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Explain K-means clustering algorithm? Apply K-Means algorithm for the following Data Set = { 15, 15, 16, 19, 20, 21, 22, 28, 35, 40, 41, 42, 43, 44, 60, 61, 65}
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written 5.1 years ago by
teamques10
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modified 14 months ago
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ranimohadika814
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K-means Clustering:
In K-means approach the data objects are classified based on their attributes or features into k number of clusters. The number of clusters i.e K is an input given by the user. K-means is one of the simplest unsupervised learning algorithms.
K-means Algorithm:
K- number of clusters
n- …
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