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    Question

    Which of the following algorithms is commonly used in

    Machine Learning for clustering tasks?       
    A K-Nearest Neighbors (KNN) Correct Answer Incorrect Answer
    B K-Means Correct Answer Incorrect Answer
    C Naive Bayes Correct Answer Incorrect Answer
    D Logistic Regression Correct Answer Incorrect Answer
    E Decision Tree Correct Answer Incorrect Answer

    Solution

    K-Means is a popular clustering algorithm in machine learning that groups data points into 'k' clusters based on their similarities. The algorithm works by initializing 'k' cluster centroids, assigning each data point to the nearest centroid, and iteratively updating the centroids until the clusters are optimized. K-Means is commonly used in tasks such as market segmentation, image compression, and pattern recognition. Unlike classification algorithms like K-Nearest Neighbors or Logistic Regression, K-Means does not require labeled data.

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