In Data Science we can use clustering analysis to gain some valuable insights from our data by seeing what groups the data points fall into when we apply a clustering algorithm. Clustering or cluster analysis is a technique that allows us to find groups of similar objects objects that are more related to each other than to objects in other groupsExamples of business-oriented applications of clustering include the grouping of documents music and movies by different topics or finding customers that share similar. 19 Basic Machine Learning Interview Questions And Answers Machine Learning Deep Learning Data Science Learning Machine Learning Artificial Intelligence For example Oates Schmill and Cohen 167 use agglomerative clustering to produce the clusters of the experiences of an autonomous agent. . Clustering helps us group these documents such that similar documents are in the same clusters. A guide to clustering large datasets with mixed da...
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