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      Question

      What is the primary objective of the K-means clustering

      algorithm in data analysis?
      A To reduce the dimensionality of a dataset for visualization. Correct Answer Incorrect Answer
      B To classify data into predefined categories based on labeled training data. Correct Answer Incorrect Answer
      C To partition a dataset into K distinct clusters based on feature similarity. Correct Answer Incorrect Answer
      D To predict future values in a time series using historical data. Correct Answer Incorrect Answer
      E To estimate the probability distribution of a continuous random variable. Correct Answer Incorrect Answer

      Solution

      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.

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