Avila数据集
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使用Z-归一化方法对数据进行了归一化，并将其分为两个数据集：一个包含10430个样本的训练集，以及一个包含10437个样本的测试集。 CLASS DISTRIBUTION (training set) A: 4286 B: 5 C: 103 D: 352 E: 1095 F: 1961 G: 446 H: 519 I: 831 W: 44 X: 522 Y: 266 Attribute Information: F1：柱间距离 F2：上边缘 F3：较低的利润率 F4：剥削 F5：行数 F6：模数比 F7：行间间距 F8：重量 F9：峰值数 F10：模比/行间间距 类别：A、B、C、D、E、F、G、H、I、W、X、Y Relevant Papers: C. De??Stefano, M. Maniaci, F. Fontanella, A. Scotto??di??Freca, Reliable writer identification in medieval manuscripts through page layout features: The 'Avila' Bible case, Engineering Applications of Artificial Intelligence, Volume 72, 2018, pp. 99-110. C. De Stefano, F. Fontanella, M. Maniaci and A. Scotto di Freca, 'A Method for Scribe Distinction in Medieval Manuscripts Using Page Layout Features', Lecture Notes in Computer Science, G. Maino and G. Foresti (eds.), Springer-Verlag, vol. 6978, pp. 393-402. Citation Request: C. De??Stefano, M. Maniaci, F. Fontanella, A. Scotto??di??Freca, Reliable writer identification in medieval manuscripts through page layout features: The 'Avila' Bible case, Engineering Applications of Artificial Intelligence, Volume 72, 2018, pp. 99-110.
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