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Description: /*
The sample demonstrates how to build a decision tree for classifying mushrooms.
It uses the sample base agaricus-lepiota.data from UCI Repository, here is the link:
Newman, D.J. & Hettich, S. & Blake, C.L. & Merz, C.J. (1998).
UCI Repository of machine learning databases
[http://www.ics.uci.edu/~mlearn/MLRepository.html].
Irvine, CA: University of California, Department of Information and Computer Science.
*/
// loads the mushroom database, which is a text file, containing
// one training sample per row, all the input variables and the output variable are categorical,
// the values are encoded by characters.
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Size: 4096 |
Author: tofighi |
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Description: 针对著名的UCI机器学习数据库中的iris data的kmeans聚类分析程序，具有代表性-For the well-known UCI machine learning repository of the iris data of kmeans cluster analysis procedure, a representative
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Size: 8192 |
Author: hannychen |
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Description: 对著名的UCI机器学习库的wine数据集做的朴素贝叶斯分类算法，包含详细源代码和实验报告，不可多得啊-Pairs of well-known UCI machine learning repository data set to do wine Naive Bayesian classification algorithm, with detailed source code and test reports, a rare ah
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Size: 17408 |
Author: hannychen |
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Description: Handwriting Recognition using Kernel Discriminant Analysis.
Demonstration of handwritten digit recognition using Kernel Discriminant Analysis and the Optical Recognition of Handwritten Digits Data Set from the UCI Machine Learning Repository.
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Size: 1415168 |
Author: reyjav |
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Description: UCI Machine Learning Repository公共数据-ucl data deposit
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Size: 728064 |
Author: 两仪 |
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Description: NCA算法的C语言版实现，其中包括大量已编辑好的来自UCI机器学习库的可用数据集-The NCA algorithm in C language version to achieve, including a large number of edited data sets available from the UCI machine learning repository
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Size: 2795520 |
Author: Bruce |
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Description: knn算法实现 采用的是 机器学习数据库中的Letter Recognition Data Set-The KNN algorithm is used to achieve the UCI Machine Learning Repository: Letter Recognition Data Set
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Size: 208896 |
Author: pyqing |
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Description: Read LibSVM files using R.
LibSVM is a MATLAB based library of UCI repository Data Sets. You can convert the data sets to R using this code
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Size: 1024 |
Author: wmartinez |
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