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高级分类器:支持向量机( SVM)
- 利用R语言实现高级分类器,支持向量机( SVM)(Advanced classifier, support vector machine (SVM))
SVM 印章分类
- matlab 开发,使用SVM方法实现印章和背景的自动分类,分类效果较好(Matlab development, using SVM method to realize automatic classification of seal and background, the effect of classification is better)
决策树分类代码
- 本代码基于MATLAB平台完成,对图像进行相应的决策树分类(This code is based on the MATLAB platform, for the corresponding decision tree classification)
红酒分类-点-2归一化后
- 将三类不同红酒进行自动分类,其中每种酒具有13类特征(Three kinds of different red wine are classified automatically, each of which has 13 types.)
无限级栏目分类
- asp.net 2.0+access vs2008 制作。 简单的无限级栏目分类。包括下拉列表的分类显示和表格形式的分类显示。 适合新手。功能简单,适合修改。 希望大家能喜欢。 App_Data下为Access数据库 作者:魏宝辉,发布者:3267601(Asp.net 2.0+access VS2008 is made. A simple class of infinite columns. It includes classification display of drop
KNN分类器
- 一、用python或matlab编写一个KNN分类器 训练集为semeion_train.csv(手写体识别) 测试集为semeion_test.csv 计算在测试集上错误率(k=1,k=3,k=5,k=10) ?(1. Write a KNN classifier with Python or matlab Training set is semeion_train.csv (handwriting recognition) The test set is semeion_test
基于ASM和K近邻算法的人脸脸型分类_张倩
- 针对人脸特征分类问题,提出一种基于主动形状模型(ASM)和 K 近邻算法的人脸脸型分类方法。将 Hausdorff 距离作为 K 近邻算法的距离函数,利用 ASM 算法提取待测图像的特征点,对点集进行归一化后计算人脸轮廓特征点与样本库中所有样本点集的 Hausdorff距离,根据该距离值,通过 K 近邻算法实现待测图像的脸型分类。实验结果证明,该方法分类正确率高、速度快、易于实现。(Aiming at the problem of face feature classification, thi
第1章 BP神经网络的数据分类
- 利用简单的负反馈神经网络(BP神经网络)实现数据分类的实例(An example of data classification using a simple negative feedback neural network (BP neural network) is presented.)
BP神经网络的数据分类-语音特征信号分类
- BP神经网络的数据分类-语音特征信号分类(Data classification of BP neural network speech feature signal classification)
MATLAB实现鸢尾花数据集分类
- 基于BP算法的鸢尾花数据集分类,在MATLAB平台下编程实现BP算法,可计算识别率。(Based on the BP algorithm, iris data set is classified. Under the MATLAB platform, the BP algorithm is programmed and the recognition rate can be calculated.)
Span_H_Alpha分类
- 参照论文《基于SPAN/H/alpha/A和复Wishart分割的全极化SAR数据的非监督分类算法研究》(Referenced research on unsupervised classification algorithm of fully polarimetric SAR data based on SPAN / H / alpha / A and complex Wishart segmentation)
分类器评估及交叉验证_代码
- 内有鸢尾花数据的5折交叉验证实验代码,采用的分类器是贝叶斯分类器。(There is a 5-fold cross-validation experiment code for the iris data, and the classifier used is a Bayesian classifier.)
kmeans图像分类
- 利用简单kmeans聚类算法,对不同图片进行分类,图片内容包括人像,风景,建筑,动物,植物等,平台是matlab。(The simple k - means clustering algorithm is used to classify different pictures. the picture content includes portrait, scenery, architecture, objects, plants, etc. The platform is MATLAB.)
mnist分类
- mnist分类,python,tensorflow,深层神经网络(MNIST classification, python, tensorflow, deep neural network)
matlab贝叶斯分类(1)-简单样本集
- 利用matlab实现贝叶斯分类,采取“留一法”选取训练集和测试集,最后返回准确率为0.8571。(Bias classification is realized by MATLAB, and training set and test set are selected by "leaving one method", and the accuracy of return is 0.8571.)
matlab贝叶斯分类(2)-10折10次交叉验证
- 利用matlab实现贝叶斯分类,采用10折10次交叉验证法选取训练集和测试集,进行循环测试,最后返回准确率为0.9184.另外,文件内含数据源。(The Bias classification is realized by MATLAB, and the training set and test set are selected by 90% off 10 times cross validation method, and the cycle test is carried out. Fin
贝叶斯分类算法
- 5个描述属性,一个分类属性,通过贝叶斯算法实现分类(5 descr iptive attributes, one categorical attribute, is implemented by Bayes algorithm.)
分类器
- 在matlab平台下,简单实现svm分类器功能(数据仓库与数据挖掘课程)(Simple implementation of SVM classifier)
随机森林算法分类、回归
- 随机森林分类器,matlab写的,直接可以运行,不需要该任何东西,详细看readme和案例。-Random Forest classifier, matlab write, direct run, does not require that anything
4逻辑回归分类_配套代码
- 吴恩达的course公开课上面logistic回归做分类的课程代码(Wu Enda's course open class, logistic regression to do the classification of curriculum code)