【深度学习】实验02 鸢尾花数据集分析
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Fishern :Donor: Michael Marshall (MARSHALL%PLU@io.arc.nasa.gov)n :Date: July, 1988nnThis is a copy of UCI ML iris datasets.nhttp://archive.ics.uci.edu/ml/datasets/IrisnnThe famous Iris database, first used by Sir R.A FishernnThis is perhaps the best known database to be found in thenpattern recognition literature. Fisher's paper is a classic in the field andnis referenced frequently to this day. (See Duda & Hart, for example.) Thendata set contains 3 classes of 50 instances each, where each class refers to antype of iris plant. One class is linearly separable from the other 2; thenlatter are NOT linearly separable from each other.nnReferencesn----------n - Fisher,R.A. "The use of multiple measurements in taxonomic problems"n Annual Eugenics, 7, Part II, 179-188 (1936); also in "Contributions ton Mathematical Statistics" (John Wiley, NY, 1950).n - Duda,R.O., & Hart,P.E. (1973) Pattern Classification and Scene Analysis.n (Q327.D83) John Wiley & Sons. ISBN 0-471-22361-1. See page 218.n - Dasarathy, B.V. (1980) "Nosing Around the Neighborhood: A New Systemn Structure and Classification Rule for Recognition in Partially Exposedn Environments". IEEE Transactions on Pattern Analysis and Machinen Intelligence, Vol. PAMI-2, No. 1, 67-71.n - Gates, G.W. (1972) "The Reduced Nearest Neighbor Rule". IEEE Transactionsn on Information Theory, May 1972, 431-433.n - See also: 1988 MLC Proceedings, 54-64. Cheeseman et al"s AUTOCLASS IIn conceptual clustering system finds 3 classes in the data.n - Many, many more ...n', 'feature_names': ['sepal length (cm)', 'sepal width (cm)', 'petal length (cm)', 'petal width (cm)']}
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