Analyzing High-Dimensional Data by Subspace Validity


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AMIR, Amihood, Reuven KASHI, Nathan S. NETANYAHU, Daniel A. KEIM, Markus WAWRYNIUK, 2003. Analyzing High-Dimensional Data by Subspace Validity. Third IEEE International Conference on Data Mining. Melbourne, FL, USA. In: Third IEEE International Conference on Data Mining. Third IEEE International Conference on Data Mining. Melbourne, FL, USA. IEEE Comput. Soc, pp. 473-476. ISBN 0-7695-1978-4. Available under: doi: 10.1109/ICDM.2003.1250955

@inproceedings{Amir2003Analy-5491, title={Analyzing High-Dimensional Data by Subspace Validity}, year={2003}, doi={10.1109/ICDM.2003.1250955}, isbn={0-7695-1978-4}, publisher={IEEE Comput. Soc}, booktitle={Third IEEE International Conference on Data Mining}, pages={473--476}, author={Amir, Amihood and Kashi, Reuven and Netanyahu, Nathan S. and Keim, Daniel A. and Wawryniuk, Markus} }

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