You can use a support vector machine (SVM) when your data has exactly two classes. An SVM classifies data by finding the best hyperplane that separates all data points of one class from those of the other class.
Support vector machineEvolutionary algorithmTraining set selectionModel optimizationKernel functionSupport vector machines (SVMs) have been exploited in a plethora of real-life classification and regression tasks, and are one of the most researched supervised learners. However, their generalization abilities ...
ClassificationSVM is a support vector machine (SVM) classifier for one-class and two-class learning. Trained ClassificationSVM classifiers store training data, parameter values, prior probabilities, support vectors, and algorithmic implementation information. Use these classifiers to perform tasks such as ...
Chen, N.Y. Deng, Nonparallel hyperplane support vector machine for binary classification problems, Inform. Sci. 263 (2014) 22-35.Shao, Y.H., Chen, W.J., and Deng, N.Y.: Nonparallel hyperplane sup- port vector machine for binary classification problems. Information Sci- ences 263 (0),...
Convert binary classification support vector machine (SVM) model to incremental learner Since R2020b collapse all in pageSyntax IncrementalMdl = incrementalLearner(Mdl) IncrementalMdl = incrementalLearner(Mdl,Name,Value)Description IncrementalMdl = incrementalLearner(Mdl) returns a binary classification linea...
fitcsvm trains or cross-validates a support vector machine (SVM) model for one-class and two-class (binary) classification on a low-dimensional or moderate-dimensional predictor data set.
fitcsvm trains or cross-validates a support vector machine (SVM) model for one-class and two-class (binary) classification on a low-dimensional or moderate-dimensional predictor data set.
This MATLAB function returns a binary classification linear model for incremental learning, IncrementalMdl, using the traditionally trained linear SVM model object or SVM model template object in Mdl.
This MATLAB function returns a binary classification linear model for incremental learning, IncrementalMdl, using the traditionally trained linear SVM model object or SVM model template object in Mdl.
Parallel and non-parallel hyperplane support vector machinesGenetic algorithmIn this paper, the binary classification problem is considered and its solution is proposed as the formulated classification model, based on genetic algorithm (GA) and nonparallel hyperplane support vector machine (NHSVM), termed...