Data Type Conversion

Converting between numeric arrays, character arrays, cell arrays, structures, or tables

Functions

char Character array
cellstr Convert to cell array of character vectors
int2str Convert integers to characters
mat2str Convert matrix to characters
num2str Convert numbers to character array
str2double Convert strings to double precision values
str2num Convert character array or string to numeric array
native2unicode Convert numeric bytes to Unicode character representation
unicode2native Convert Unicode character representation to numeric bytes
base2dec Convert text representing number in base N to decimal number
bin2dec Convert text representation of binary number to decimal number
dec2base Convert decimal number to character array representing base-N number
dec2bin Convert decimal number to character array representing binary number
dec2hex Convert decimal number to character array representing hexadecimal number
hex2dec Convert text representation of hexadecimal number to decimal number
hex2num Convert IEEE hexadecimal format to double-precision number
num2hex Convert single- and double-precision numbers to IEEE hexadecimal format
table2array Convert table to homogeneous array
table2cell Convert table to cell array
table2struct Convert table to structure array
array2table Convert homogeneous array to table
cell2table Convert cell array to table
struct2table Convert structure array to table
cell2mat Convert cell array to ordinary array of the underlying data type
cell2struct Convert cell array to structure array
mat2cell Convert array to cell array whose cells contain subarrays
num2cell Convert array to cell array with consistently sized cells
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



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