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K Means Algorithm Solved Example | K Means Clustering Algorithm in Machine Learning by Vidya Mahesh Huddar Apply the K-means clustering algorithm to cluster the following data points into two groups. Data Points: (185, 72), (170, 56), (168, 60), (179, 68), (182, 72), (188, 77) The distance function used is Euclidean distance. Consider the first two data points as initial centroids. The following concepts are discussed: ______________________________ How to use the K Means Clustering Algorithm, K Means Clustering Solved Numerical Example, K Means Clustering Solved Example, K means clustering Euclidean Distance, k means clustering algorithm, k means clustering example, k means clustering, k means, k-means algorithm, ******************************** Follow Us on: 1. Blog / Website: https://www.vtupulse.com/ 2. Download Final Year Project Source Code: https://vtupulse.com/download-final-year-projects/ 3. Like Facebook Page: https://www.facebook.com/VTUPulse 4. Follow us on Instagram: https://www.instagram.com/vtupulse/ 5. Like, Share, Subscribe, and Don't forget to press the bell ICON for regular updates
