{ "data_id": "16", "name": "mfeat-karhunen", "exact_name": "mfeat-karhunen", "version": 1, "version_label": "1", "description": "**Author**: Robert P.W. Duin, Department of Applied Physics, Delft University of Technology \r\n**Source**: [UCI](https:\/\/archive.ics.uci.edu\/ml\/datasets\/Multiple+Features) - 1998 \r\n**Please cite**: [UCI](https:\/\/archive.ics.uci.edu\/ml\/citation_policy.html) \r\n\r\n**Multiple Features Dataset: Karhunen** \r\nOne of a set of 6 datasets describing features of handwritten numerals (0 - 9) extracted from a collection of Dutch utility maps. Corresponding patterns in different datasets correspond to the same original character. 200 instances per class (for a total of 2,000 instances) have been digitized in binary images. \r\n\r\n### Attribute Information \r\nThe attributes represent 64 descriptors from the Karhunen-Loeve Transform, a linear transform that corresponds to the projection of the images on the eigenvectors of a covariant matrix. Also see: \r\nM.D. Garris et al: NIST Form-Based Handprint Recognition System. Internal Report. National Institute of Standards and Technology, NISTIR 5469, 1994.\r\n\r\n### Relevant Papers \r\nA slightly different version of the database is used in \r\nM. van Breukelen, R.P.W. Duin, D.M.J. Tax, and J.E. den Hartog, Handwritten digit recognition by combined classifiers, Kybernetika, vol. 34, no. 4, 1998, 381-386.\r\n \r\nThe database as is is used in: \r\nA.K. Jain, R.P.W. Duin, J. Mao, Statistical Pattern Recognition: A Review, IEEE Transactions on Pattern Analysis and Machine Intelligence archive, Volume 22 Issue 1, January 2000 \r\n \r\n ", "format": "ARFF", "uploader": "Jan van Rijn", "uploader_id": 1, "visibility": "public", "creator": "Robert P.W. 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