It is generally used for the analysis of the data set, to find insightful data among huge data sets and draw inferences from it. In other words, the clusters are regions where the density of similar data points is high. Clusters are nothing but the grouping of data points such that the distance between the data points within the clusters is minimal. It is an exploratory data analysis technique that allows us to analyze the multivariate data sets.Ĭlustering is a task of dividing the data sets into a certain number of clusters in such a manner that the data points belonging to a cluster have similar characteristics. In the unsupervised learning method, the inferences are drawn from the data sets which do not contain labelled output variable. What are the different types of clustering methods used in business intelligence?Ĭlustering is a type of unsupervised learning method of machine learning. ![]() HDBSCAN (Hierarchical Density-Based Spatial Clustering of Applications with Noise).OPTICS (Ordering Points to Identify Clustering Structure).DBSCAN (Density-Based Spatial Clustering of Applications with Noise). ![]()
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