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Welcome to our video on K means clustering! In this video, we will be explaining what K means clustering is and how it is used in machine learning.

K means clustering is an unsupervised learning algorithm that is used to group data points into clusters. It works by assigning each data point to the cluster with the nearest mean, and then updating the mean of each cluster based on the data points in it. This process is repeated until the clusters converge and the data points are optimally grouped.

K means clustering is often used to discover patterns and relationships in data, and can be used in a wide range of applications, including image and text analysis, customer segmentation, and anomaly detection.

We hope you found this video on K means clustering helpful. If you have any questions or would like to learn more about machine learning, be sure to check out our other videos and subscribe to our channel. Thanks for watching!

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