Hierarchical clustering is the second most popular technique for clustering after K-means. Remember, in K-means; we need to define the number of clusters beforehand. However, in hierarchical clustering, we don’t have to specify the number of […]
Continue readingMore TagA major challenge in the K-means algorithm is choosing the optimal value of k; however, selecting the right value of k is quite tricky and is also crucial as it can impact the performance of the […]
Continue readingMore TagK-means clustering is one of the simplest unsupervised learning algorithms that solve the well known clustering problem. Before we venture into K-means, let’s first understand what clustering is? What is clustering? The idea behind clustering is […]
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