data clustering
There are two main approaches for clustering unlabeled data: K-Means Clustering and Hierarchical clustering. In K-Means clustering a centroid for each cluster is selected and then data points are assigned to the cluster whose centroid has the smallest distance to data points. On the other hand in hierarchical clustering, the distance between every point is...
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shopping mall
In this article, we will explain how unsupervised learning techniques can help group customers based on their shopping trends. There are two main algorithms used for clustering the data: K Means Clustering and Hierarchical Clustering. In this article, we will see how K-Means Clustering can be used to divide customers with similar shopping habits into...
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