Pick and explain one algorithm that you would consider to be the most influential or most interesting The K-Means Clustering Algorithm

K-Means Clustering Algorithm

K-Means Clustering algorithm (Ray, 2020) is well-known as being one of most powerful and intriguing unsupervised machine-learning algorithms. It’s used to identify distinct, homogeneous clusters from a large dataset. It is designed to find clusters in which all elements are identical to one another and distinct from other elements. The algorithm can be used in many fields, including image processing, speech recognition and data mining (Jahan 2019, 2019).   Although the algorithm is simple it’s quite powerful. Starting with randomly picking k centraloids, or pivot points from among the data points. After that, the algorithm assigns points according to the closest centroid. This creates a cluster of cost functions and forms a cluster. The cost functions are then adjusted iteratively to reach the optimal cost function (Lu 2018, Lu).    K-Means Clustering algorithms are both extremely powerful and very useful. They have had wide-reaching effects in data science and machine-learning.  Cont…

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