搜索资源列表
KNN11
- matlab有关K近邻分类算法,很不错,-matlab knn
SVM
- 在matlab环境下实现的算法,该算法主要实现SVM分类的算法,svm入门-In the matlab environment to achieve algorithm to achieve SVM classification of the main algorithm, character recognition by SVM to achieve
jiaocha
- 图像分类中的交叉验证方法,比如说,一个训练集集合,为了得到其中参数的较准确值,就可以使用此类算法-Image Classification Based on cross-validation method, for example, a collection of training set, in order to obtain more accurate values of these parameters, you can use these algorithms
svdd
- 支持向量数据的matlab算法程序,用于一类分类,欢迎大家下载-Algorithm for support vector data, matlab program for one-class classification, we are happy to download
mopso
- 智能微粒群学习算法,可用于分类及特征优化等等。该算法实现过程简单,清晰。-Intelligent Particle Swarm learning algorithm can be used to optimize the classification and characteristics and so on. Implementation process of the algorithm is simple and clear.
GAFCM
- 遗传算法改进的模糊C-均值聚类MATLAB源码 模糊C-均值算法容易收敛于局部极小点,为了克服该缺点,将遗传算法应用于模糊C-均值算法(FCM)的优化计算中,由遗传算法得到初始聚类中心,再使用标准的模糊C-均值聚类算法得到最优分类结果。 -Value algorithm (FCM) of the optimization calculations, by the genetic algorithm is the initial cluster centers, and the
ID3
- 实现ID3算法,在结果中以树表示出来。决策树是对数据进行分类,以此达到预测的目的。该决策树方法先根据训练集数据形成决策树,如果该树不能对所有对象给出正确的分类,那么选择一些例外加入到训练集数据中,重复该过程一直到形成正确的决策集。-ID3 algorithm to achieve, in the results that come out to the tree. Decision tree is to classify the data, thus achieving the purpose
Perceptron_Function
- 基于感知器算法的线性分类程序,matlab实现。-Perceptron-based algorithm of linear classification procedures, matlab realize.
Rec_BaseOnCN
- 使用复杂网络提取图像边缘特征并进行识别的源代码,采用PCA_LDA算法对特征进行降维分类识别,识别效率很高。鲁棒性好-Extracted using image edge characteristics of complex networks and to identify the source code, using PCA_LDA algorithm to reduce the dimensions feature classification, identification with hi
rbf
- 基于聚类的径向基神经网络算法,matlab实现-Cluster-based radial basis function neural network algorithm, matlab implementation
SLLE
- 引入数据类别信息的有监督局部线性嵌入算法,可用于数据分类-Supervised Locally Linear Embedding
bayes_total
- 最小错误概率贝叶斯分类器的matlab程序,可用于二维数据的分类以及分类效果的图像显示,可帮助初学者加深对贝叶斯分类算法的理解。-This is a matlab program of the minimum probability of error of Bayesian classifier.Which can display the image of two-dimensional data classification and the classification results . I
CART
- 这是一个分类和回归树算法,它提供一种通用框架将各种各样不同的判定树实例化。-This is a classification and regression tree algorithm, which provides a common framework a wide variety of different decision tree instantiation.
SVM
- 用matlab实现了SVM算法,并且对两类点进行了分类,给出了图形化的结果。-SVM algorithm is implemented using matlab, and two points on the classification, given the graphical result.
2DPCA_Matlab_Codes_PAMI_2004
- 这里面的代码是2DPCA的。这篇文章发表在PAMI上,Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition.google搜索已经引用681次。这里的代码是原作者的。这个分类不太好,语音识别是最近的,这是模式识别里的经典算法。-matlab code of 2DPCA
SVM
- 四种支持向量机SVM工具箱的分类与回归算法。MATLAB编写-Four types of support vector machine SVM toolbox classification and regression algorithm. MATLAB prepared
Fisher
- fisher线性分类器算法,算法实现三维空间中样本中各点的分类情况。-fisher linear classifier algorithm to achieve three-dimensional sample points in the classification.
RVM_matlabToolBox
- 相关向量机(RVM)的matlab源程序,包含快速算法,内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型,对未知函数进行预测或分类。 优点: (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好. -Relevance Vector Ma
gpml-matlab-v3.1-2010-09-27
- 高斯过程算法在回归和分类中的应用程序。与书本《基于高斯过程的机器学习》配套。本程序是最新的v3.1版,更新于2010-09-27-Gaussian process regression and classification algorithm in the application. And the book " machine learning based on Gaussian process" support. This program is the latest v3.1
rvm
- 用于分类的相关向量机(RVM)算法,可以实现很好的分类。-RVM algorithm can be good for classification.