Clustering

1 K-Means Clustering Introduction to K-means Clustering¶K-means clustering is a type of unsupervised learning, which is used when you have unlabeled data (i.e., data without defined categories or groups). The goal of this algorithm is to find groups in the data, with the number of groups represented by the variable …

2 – Hierarchical Clustering Hierarchical Clustering Analysis¶Clustering is the most common form of unsupervised learning, a type of machine learning algorithm used to draw inferences from unlabeled data. Hierarchical clustering, also known as hierarchical cluster analysis, is an algorithm that groups similar objects into groups called clusters. The endpoint is …