What Is Clustering In Data Mining
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What Is Clustering In Data Mining
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What Is Clustering In Data Mining
Some common applications for clustering include the following market segmentation social network analysis search result grouping medical imaging image segmentation Cluster analysis, also known as clustering, is a statistical technique used in machine learning and data mining that involves the grouping of objects or points in such a way that objects in the same group, also known as a cluster, are more similar to each other than to those in other groups.
Data Mining Cluster Analysis Javatpoint
What Is Clustering In Data MiningCluster analysis, also known as clustering, is a method of data mining that groups similar data points together. The goal of cluster analysis is to divide a dataset into groups (or clusters) such that the data points within each group are more similar to each other than to data points in other groups. Last Updated 22 Jun 2022 Clustering The process of making a group of abstract objects into classes of similar objects is known as clustering Points to Remember One group is treated as a cluster of data objects In the process of cluster analysis the first step is to partition the set of data into groups with the help of data similarity
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