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K-Means Clustering Algorithm: Applications, Types, and How Does It Work?

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Every Machine Learning engineer wants to achieve accurate predictions with their algorithms. 

Such learning algorithms are generally broken down into two types - supervised and unsupervised. 

K-Means clustering is one of the unsupervised algorithms where the available input data does not have a labeled response.

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https://www.simplilearn.com/tutorials/machine-learning-tutorial/k-means-clustering-algorithm

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