Data clustering
Data clustering is a common technique for statistical data analysis, which is used in many fields, including machine learning, data mining, pattern recognition, image analysis and bioinformatics. Clustering is the classification of similar objects into different groups, or more precisely, the partitioning of a data set into subsets (clusters), so that the data in each subset (ideally) share some common trait - often proximity according to some defined distance measure.
Related Topics:
Statistical - Data analysis - Machine learning - Data mining - Pattern recognition - Image analysis - Bioinformatics - Classification - Partitioning - Subset - Distance measure
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Machine learning typically regards data clustering as a form of unsupervised learning.
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~ Table of Content ~
| ► | Introduction |
| ► | Other names |
| ► | Types of clustering |
| ► | Hierarchical clustering |
| ► | Partitional clustering |
| ► | Spectral clustering |
| ► | Applications |
| ► | Comparisons between data clusterings |
| ► | External links |
| ► | See also |
| ► | Bibliography |
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