搜索资源列表
手写数字识别之Fisher线性判别
- 手写数字识别之Fisher线性判别-handwritten figures identifiable Fisher Linear Discriminant
3MDHSHJ线性判别函数
- 模式识别中 MDHSHJ线性判别函数 的算法-pattern recognition MDHSHJ linear discriminant function algorithm
fisher线性判别
- fisher线性判别实例
手写数字识别之Fisher线性判别
- 手写数字识别之Fisher线性判别-handwritten figures identifiable Fisher Linear Discriminant
3MDHSHJ线性判别函数
- 模式识别中 MDHSHJ线性判别函数 的算法-pattern recognition MDHSHJ linear discriminant function algorithm
Fisher
- Fisher判别，用于模式识别的Fisher线性判别-Fisher Discriminant for pattern recognition Fisher Linear Discriminant
KDDA
- 核直接线性判别方法（kdda），主要用于人脸识别，模式分类。-nuclear direct linear discriminant method (kdda), mainly used for face recognition, pattern classification.
OLDA
- 正交线性判别分析（Orthogonal Linear Discriminant Analysis），可以用于数据降维上面。-orthogonal linear discriminant analysis (Orthogonal Linear Discriminan t Analysis), can be used for cutting down the data above.
KDA_QR
- 基于奇异值分解的核线性判别分析（Kernel Discriminant Analysis via QR Decomposition）。 -based on the singular value decomposition of the nuclear linear discriminant analysis (Kernel Discriminant An alysis via QR Decomposition).
fileget
- 共有五种算法 ：A star 算法类的实现，Bp神经网络解决异或问题，联机手写数字识别，联机数字、英文字符及汉字识别，8数码游戏,本算法为手写数字识别之Fisher线性判别-A total of five algorithms: A star algorithm kind of realize, Bp neural network to solve XOR problem, on-line handwritten numeral rec
Fisher_Linear_Classify
- 能够实现Fisher线性判别，对二类数据可以画出精确的二维分类结果，也可画出相应的三维分类结果。-Fisher Linear Discriminant can be achieved on two categories of data can be drawn in a precise two-dimensional classification results, but also draw the corresponding thre
LDA
- 线性判别分析法（LDA），LDA以提高样本在子空间中的可分类为目标。寻找一组基向量，在这些基向量张成的子空间中，不同类别的训练样本能有最小的类内离散度，最大的类间离散度。-Linear discriminant analysis (LDA), LDA in order to improve the sample in the sub-space can be classified as a target. Find a group-ba
pca_lda_study
- 实用可能的主成分分析(PCA)和线性判别分析(LDA)，训练和检查，-Practical potential of principal component analysis (PCA) and linear discriminant analysis (LDA), training and inspection,
PCA+LDA
- PCA(主成分分析法)、LDA(线性判别法) 两种方法是主要的线性降维法，有很好的效果，希望对大家能够有用！-PCA (Principal Component Analysis), LDA (Linear Discriminant method) two methods are the main linear dimensionality reduction method, have very good results, in th
featureExtraction
- 该程序包实现了模式识别中的两个特征提取算法，主成分分析PCA和线性判别分析LDA。采用C++语言编写，开发环境VS。 程序包还提供了两个测试样本文件。-The package to achieve the recognition of the two feature extraction algorithm, principal component analysis PCA and linear discriminant analysi
linear
- 手写体识别中，对于阿拉伯数字的识别。常用的模式分类方法都可以应用。这个小程序使用的方法是线性判别分析-Handwriting recognition, for identification of Arabic numerals. Commonly used pattern classification methods can be applied. This small program uses the method is linear
FDA
- Fisher线性判别分类器源代码，包括训练函数和测试函数。-Fisher Linear Discrimination (FLD) classifier source code, including training function and test function.
LDA
- 线性判别分析（LDA）用于特征选择，可以对数据集或者图像提取有用特征，用于分类或者聚类等机器学习应用中-Linear Discriminant Analysis (LDA) for feature selection, application in dataset or image feature extraction, for classification or clustering applications in machine l
Fisher
- 使用Fisher 现行判别函数对给定的样本进行训练，对于两类，Fisher线性判别函数很好做，就是 w = Sw (m1 - m2), 其中：Sw为总类内离散度矩阵， m1, m2, 为两个模式类的均值-Fisher discriminant function using the current sample of a given training for two, Fisher linear discriminant function
线性判别
- 用于线性及非线性的判别分析等，简单实用(Simple and practical for linear and non-linear discriminant analysis)