Unsupervised learning uses algorithms to analyze and cluster unlabeled datasets. These algorithms discover hidden patterns and data groupings without the need of human intenvention. Generally it's used for expolarity data analysis, customer segmentation, recommender systems, big data visualization, feature elicitation etc. Roughly, there are three types of unsupervised learning approach. Clustering is a data mining techinuqe which groups unlabeled data based on similarities and differences. Clustering algorithms are used to process raw, unclassified data objects into groups represented by structures and patterns in the information.
Nov-25-2021, 09:23:30 GMT