I want to use Matlab code to classify the... Learn more about svm, satellite image Statistics and Machine Learning Toolbox
A support vector machine is a supervised machine learning algorithm that finds an optimal hyperplane that separates data of different classes. Get code examples.
Save this code as a file named mysigmoid2 on your MATLAB® path. Train another SVM classifier using the adjusted sigmoid kernel. Plot the data and the decision region, and determine the out-of-sample misclassification rate. Get Mdl2 = fitcsvm(X,Y,'KernelFunction','mysigmoid2','Standardi...
ClassificationSVM is a support vector machine (SVM) classifier for one-class and two-class learning.
Copy Code Copy Command Train a multiclass error-correcting output codes (ECOC) model using support vector machine (SVM) binary learners. Load Fisher's iris data set. Specify the predictor data X and the response data Y. Get load fisheriris X = meas; Y = species; Train a multiclass ECOC...
After training a model, you can generate C/C++ code that predicts labels for new data. Generating C/C++ code requires MATLAB Coder™. For details, see Introduction to Code Generation.Algorithms For the mathematical formulation of the SVM binary classification algorithm, see Support Vector Machines...
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 support vector machine (SVM) learner template suitable for training classification or regression models.
Support vector machines for binary or multiclass classificationFor 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 Classification Learne...
Generate C and C++ code using MATLAB® Coder™. GPU Arrays Accelerate code by running on a graphics processing unit (GPU) using Parallel Computing Toolbox™. (since R2023a) Version History Introduced in R2015b expand all R2023b:Model stores observations with missing predictor values ...