UNSUPERVISED LEARNING CLUSTERING, K-MEANS ALGORITHM
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Abstract
The k-Means algorithm, one of the Unsupervised Learning algorithms, which is one of the branches of Machine Learning, is widely used for clustering tasks in the construction of artificial intelligence programs. In the k-Means algorithm, k steroid points are selected, the distances from setroids to each point are measured and divided into k clusters, and steroids are moved to the center of the points, this process continues until the setroid points do not move. This makes it an intuitive and powerful tool for solving complex problems[3]. This paper creates a customer clustering model using the k-Means algorithm.
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