Question

What is the primary objective of the K-means clustering

Q: Answer-What is the primary objective of the K-means clustering algorithm in data analysis?

The K-means clustering algorithm is an unsupervised learning technique used in data analysis to partition a dataset into K distinct clusters. The primary objective of K-means is to group data points into clusters where each data point belongs to the cluster with the nearest mean centroid, which minimizes the within-cluster variance.

algorithm in data analysis?

A To reduce the dimensionality of a dataset for visualization.

B To classify data into predefined categories based on labeled training data.

C To partition a dataset into K distinct clusters based on feature similarity.

D To predict future values in a time series using historical data.

E To estimate the probability distribution of a continuous random variable.

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What is the primary objective of the K-means clustering

Solution