25 September 2003 Hierarchical partition scheme in feature space for multivariate clustering
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Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.539882
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China
Abstract
In this article we propose a hierarchical partition of the feature space based on statistical information on each dimension, and then use mean-shift to properly fuse the obtained super-cubics to reveal the genuine data structure. It not only greatly reduces calculation, but also provides a desirable priori knowledge for bandwidth selection.
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Kai Zhang, Kai Zhang, Ming Tang, Ming Tang, Hanqing Lu, Hanqing Lu, } "Hierarchical partition scheme in feature space for multivariate clustering", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.539882; https://doi.org/10.1117/12.539882
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