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What is K-Means Clustering in Machine Learning about?

1. Unsupervised learning uses a set of inputs without associated responses to find hidden patterns or relationships in the data. The main unsupervised learning technique is clustering, which groups inputs into clusters to maximize similarities within clusters and differences between clusters. 2. The k-means algorithm is a popular clustering method that divides data into k clusters by minimizing distances between points and cluster centers. It works by iteratively updating cluster centers to be the mean of

Author

gunjan Bhardwaj

Language

EN