High Dimensional Data Clustering (HDDC)
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The High Dimensional Data Clustering (HDDC) toolbox contains an efficient unsupervised classifiers for high-dimensional data. This classifier is based on Gaussian models adapted for high-dimensional data.
Reference: C. Bouveyron, S. Girard and C. Schmid, High-Dimensional Data Clustering, Computational Statistics and Data Analysis, to appear, 2007
Cite As
Charles Bouveyron (2024). High Dimensional Data Clustering (HDDC) (https://www.mathworks.com/matlabcentral/fileexchange/16122-high-dimensional-data-clustering-hddc), MATLAB Central File Exchange. Retrieved .
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- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Cluster Analysis and Anomaly Detection >
- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Classification >
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Version | Published | Release Notes | |
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1.0.0.0 |