搜索资源列表
shihanshu
- VB可视化程序，简单的一些代码， 模式识别中势函数的图形表示与分类-VB visualization procedures, some simple code, pattern recognition in the potential function of the graphical representation and classification
KNN
- KNN算法--一种文本分类算法-KNN algorithm- a text classification algorithm
C4.5
- C4.5算法有如下优点：产生的分类规则易于理解，准确率较高。其缺点是：在构造树的过程中，需要对数据集进行多次的顺序扫描和排序，因而导致算法的低效。此外，C4.5只适合于能够驻留于内存的数据集，当训练集大得无法在内存容纳时程序无法运行。-C4.5 algorithm has the following advantages: the classification rules easier to understand, accurate a
KNN
- matlab 源码 KNN classification -matlab source KNN classification
Classification
- 该算法为数字字符特征提取。是字符识别的前提。开发环境为vc++。-The algorithm for the digital characters in feature extraction. Is a prerequisite for character recognition. Development environment for vc++.
patternclassification
- 模式识别ppt。R. O. Duda的那本Pattern Classification 模式识别红宝书配套ppt-Pattern Recognition ppt. RO Duda was the Little Red Book Pattern Classification Pattern Recognition matching ppt
GHalftone_Class
- 灰度共生矩阵,半调图像 首先算出图像的增强的一维相关性,并用生经网络进行分类,可以分为6的大类 然后针对第三大类Cluster4和Diffuse8,可以利用图像的纹理特征参数(逆差矩)进行分类-Gray Level Co-occurrence matrix, first calculated image halftone images enhanced the relevance of one-dimensional, and
SpPCA
- 利用Sub-pattern PCA在Yale人脸库上进行人脸识别的matlab源代码，子模式主成分分析首先对原始图像分块，然后对相同位置的子图像分别建立子图像集，在每一个子图像集内使用PCA方法提取特征，建立子空间。对待识别图像，经相同分块后，分别将子图像向对应的子空间投影，提取特征。最后根据最近邻原则进行分类。-Sub-pattern PCA use in the Yale face database for face recogni
knn
- knn 方法为k均值聚类用于数据点的分类-KNN method for k-means clustering for the classification of data points
K-MEANS
- 基于MATLAB的k-means算法 较好的解决了图像分类聚类的问题-MATLAB based on the k-means algorithm better solved the problem of image classification clustering
SVM
- 这里实现了四种SVM工具箱的分类与回归算法 1、工具箱：LS_SVMlab Classification_LS_SVMlab.m - 多类分类 Regression_LS_SVMlab.m - 函数拟合 2、工具箱：OSU_SVM3.00 Classification_OSU_SVM.m - 多类分类 3、工具箱：stprtool\svm Classification_stprtool.m
IrisFisher
- 利用经典的iris数据进行核fisher分类-The use of classic iris data classification nuclear fisher
lsvmk
- 分类和拟合，支持向量新算法。最小二乘，但只能用于二维数据-Classification and fitting a new support vector algorithm. Least squares, but only for two-dimensional data
Matlab_PCA
- 做模式分类时（例如指纹识别，人脸识别），一个需要处理的难题是维数非常大，人脸往往是百万维的，目前计算机的能力还不足以快速地计算这么高维的数据。pca是一中降维的方法，用它可以把高维数据映射到一个维数较低的空间上考虑。-To do pattern classification (for example, fingerprint identification, face recognition), a need to deal with t
svm
- libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It
Knn
- K最近邻分类的代码，附有输入输出和程序使用说明。-K nearest neighbor classification code, with input and output and procedures for use.
VehicleCheck
- 车辆识别 vehicle detection and classification.-Vehicle Identification vehicle detection and classification.
classfication_toolbox
- 这个文本分类工具箱给出了有监督和无监督的文本分类算法清单。 这些算法为实验和合成数据提供了设计分类方法。-The text classification toolbox has given supervision and unsupervised text classification algorithm list. These algorithms for the experimental and synthetic data c
the_online_clustering
- 此文章为基于在线聚类的雷达辐射源分类，它发展了新算法来在线更新分类。内附详细流程图，及功能介绍。可供用matlab做聚类和在线更新的所有人参考。-This article is based on online clustering of Radar Emitter classification, it has developed a new algorithm to update the classification of online
MDL
- 此书介绍了基于MDL准则的雷达辐射源分类方法，适用于做MDL方法和发射源分类方法的人参考使用。-The book introduced the MDL-based criteria for Radar Emitter classification methods, applied to make MDL methods and emission source classification of people use and refere