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Date : 2025-12-17 Size : 284kb User : mtps

生物识别:指纹、人脸、虹膜、头骨及静脉识别是最有应用价值的几个,本代码是静脉识别的C++代码,具有极高的参考价值。-Biometrics: fingerprint, face, iris, skull and intravenous application of recognition is the most a few, the vein identification code is C++ code, with a high reference value.
Date : 2025-12-17 Size : 23kb User : zgabg

DL : 0
模式识别大作业K近邻算法(KNN)C++实现,内有iris和wine数据测试以及其他相关资料。-, Pattern Recognition large job K nearest neighbor algorithm (KNN) C++ achieved within the iris and wine data testing and other relevant information.
Date : 2025-12-17 Size : 2.26mb User : VanillaChow

学习模式识别时候,会用到C均值处理一些数据。其中处理Iris数据是一个典型的问题,本例子由本人编写,为了完成其数据的分类。总共150个4维数据,将它分为三类。每个数据原归属于三类。-Learning pattern recognition when used C-means to deal with some data. Which deal with Iris data is a typical problem, the examples of which I am writing, in order to complete its data classification. A total of 150 4-dimensional data, and it is divided into three categories. Each data of the original vesting in three categories.
Date : 2025-12-17 Size : 7kb User : 冯嘉贲

(1)Bayes分类 已知N=9, =3,n=2,C=3,问x= 应属于哪一类? (2)聚类 使用c-均值聚类算法在IRIS数据上进行聚类分析 (3)鉴别分析 在ORL或Yale标准人脸数据库上完成模式识别任务。 用PCA与基于核的PCA(KPCA)方法完成人脸图像的重构与识别试验。-(1) Bayes classification Known N = 9, = 3, n = 2, C = 3, x = should ask which category? (2) Cluster C-means clustering algorithm using cluster analysis on IRIS data (3) discriminant analysis Pattern recognition tasks completed on ORL face database standard or Yale. With PCA and nuclear-based PCA (KPCA) method to complete the reconstruction of the face image recognition test.
Date : 2025-12-17 Size : 7kb User : 刘宏
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