主要内容

Support Vector Machine Classification

Support vector machines for binary or multiclass classification

For greater accuracy and kernel-function choices on low- through medium-dimensional data sets, train a binary SVM model or a multiclass error-correcting output codes (ECOC) model containing SVM binary learners using the分类学习者应用程序。要获得更大的灵活性，请使用命令行界面使用二进制SVM模型训练FITCSVMor train a multiclass ECOC model composed of binary SVM learners usingfitcecoc.

For reduced computation time on high-dimensional data sets, efficiently train a binary, linear classification model, such as a linear SVM model, usingfitclinearor train a multiclass ECOC model composed of SVM models usingfitcecoc.

对非线性和大数据分类,火车a binary, Gaussian kernel classification model usingFitckernel.

Apps

分类学习者 火车模型使用监督的机器学习对数据进行分类

Blocks

分类vmPredict Classify observations using support vector machine (SVM) classifier for one-class and binary classification

Functions

expand all

FITCSVM 火车支持向量万博1manbetx机（SVM）分类器，用于一级和二进制分类
fitSVMPosterior Fit posterior probabilities
预测 Classify observations using support vector machine (SVM) classifier
templateSVM Support vector machine template
fitclinear Fit binary linear classifier to high-dimensional data
预测 Predict labels for linear classification models
templateLinear Linear classification learner template
Fitckernel Fit binary Gaussian kernel classifier using random feature expansion
预测 Predict labels for Gaussian kernel classification model
templateKernel Kernel model template
fitcecoc Fit multiclass models for support vector machines or other classifiers
预测 Classify observations using multiclass error-correcting output codes (ECOC) model
TemplateCoc Error-correcting output codes learner template

Classes

expand all

分类vm Support vector machine (SVM) for one-class and binary classification
compactClassificationvm Compact support vector machine (SVM) for one-class and binary classification
ClassificationPartitionedModel 交叉验证分类模型
分类线 Linear model for binary classification of high-dimensional data
ClassificationPartitionedLinear Cross-validated linear model for binary classification of high-dimensional data
ClassificationKernel Gaussian kernel classification model using random feature expansion
分类部门 Cross-validated, binary kernel classification model
ClassificationECOC 支持向量机（SVM）和其他分类器的多类模型万博1manbetx
CompactClassificationECOC Compact multiclass model for support vector machines (SVMs) and other classifiers
分类部门 Cross-validated multiclass ECOC model for support vector machines (SVMs) and other classifiers
分类部门甲基核酸杆菌 Cross-validated linear error-correcting output codes model for multiclass classification of high-dimensional data
分类部门 Cross-validated kernel error-correcting output codes (ECOC) model for multiclass classification

Topics

Related Information