Cell Arrays

Arrays that can contain data of varying types and sizes

A cell array is a data type with indexed data containers called cells, where each cell can contain any type of data. Cell arrays commonly contain either lists of character vectors of different lengths, or mixes of strings and numbers, or numeric arrays of different sizes. Refer to sets of cells by enclosing indices in smooth parentheses, (). Access the contents of cells by indexing with curly braces, {}. For more information, see Access Data in Cell Array or watch Introducing Structures and Cell Arrays.

Functions

cell Cell array
cell2mat Convert cell array to ordinary array of the underlying data type
cell2struct Convert cell array to structure array
cell2table Convert cell array to table
celldisp Display cell array contents
cellfun Apply function to each cell in cell array
cellplot Graphically display structure of cell array
cellstr Convert to cell array of character vectors
iscell Determine if input is cell array
iscellstr Determine if input is cell array of character vectors
mat2cell Convert array to cell array whose cells contain subarrays
num2cell Convert array to cell array with consistently sized cells
strjoin Join strings in array
strsplit Split string or character vector at specified delimiter
struct2cell Convert structure to cell array
table2cell Convert table 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



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