Structures

Arrays with named fields that can contain data of varying types and sizes

A structure array is a data type that groups related data using data containers called fields. Each field can contain any type of data. Access data in a structure using dot notation of the form structName.fieldName. For more information, see Create Structure Array or watch Introducing Structures and Cell Arrays.

Functions

struct Structure array
fieldnames Field names of structure, or public fields of Java or Microsoft COM object
getfield Field of structure array
isfield Determine if input is structure array field
isstruct Determine if input is structure array
orderfields Order fields of structure array
rmfield Remove fields from structure
setfield Assign value to structure array field
arrayfun Apply function to each element of array
structfun Apply function to each field of scalar structure
table2struct Convert table to structure array
struct2table Convert structure array to table
cell2struct Convert cell array to structure array
struct2cell Convert structure to cell array

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Machine Learning in MATLAB

Train Classification Models in Classification Learner App

Train Regression Models in Regression Learner App

Distribution Plots

Explore the Random Number Generation UI

Design of Experiments

Machine Learning Models

Logistic regression

Logistic regression create generalized linear regression model - MATLAB fitglm 2

Support Vector Machines for Binary Classification

Support Vector Machines for Binary Classification 2

Support Vector Machines for Binary Classification 3

Support Vector Machines for Binary Classification 4

Support Vector Machines for Binary Classification 5

Assess Neural Network Classifier Performance

Naive Bayes Classification

ClassificationTree class

Discriminant Analysis Classification

Ensemble classifier

ClassificationTree class 2

Train Generalized Additive Model for Binary Classification

Train Generalized Additive Model for Binary Classification 2

Classification Using Nearest Neighbors

Classification Using Nearest Neighbors 2

Classification Using Nearest Neighbors 3

Classification Using Nearest Neighbors 4

Classification Using Nearest Neighbors 5

Linear Regression

Linear Regression 2

Linear Regression 3

Linear Regression 4

Nonlinear Regression

Nonlinear Regression 2

Visualizing Multivariate Data

Generalized Linear Models

Generalized Linear Models 2

RegressionTree class

RegressionTree class 2

Neural networks

Gaussian Process Regression Models

Gaussian Process Regression Models 2

Understanding Support Vector Machine Regression

Understanding Support Vector Machine Regression 2

RegressionEnsemble