What is Data Clustering

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Data clustering is a discovery process that partitions a data set into groups such that data points within a group have high similarity in comparison to one another but are very dissimilar to points in other groups. Learn more in: Categorization of Data Clustering Techniques

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Clustering is the unsupervised classification of patterns (observations, data items, or feature vectors) into groups (clusters). Learn more in: Association Rules Mining for Retail Organizations

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Data clustering is to partition data into groups, where the data in the same group are similar to one another and the data from different groups are different from one another. Learn more in: Data Clustering

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The process of putting a given data set into groups of similar elements is called data clustering. Learn more in: Soft Sets and Its Applications

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A set of multivariate data analysis techniques aimed at the selection and grouping of homogeneous elements in a data set. Learn more in: Infrared Thermography for Intelligent Robotic Systems in Research Industry Inspections: Thermography in Industry Processes

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Partitioning data sets into subsets whose elements share common or similar properties. Learn more in: Fast and Robust Fuzzy C-Means Algorithms for Automated Brain MR Image Segmentation

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Unsupervised learning operation that groups the data objects, objects in same group are more similar to each other than objects in other groups. Learn more in: On Combining Nature-Inspired Algorithms for Data Clustering