sun rise
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Accept 20 answers given by other contributors
Awarded to sun rise on 29 May 2022
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Question
Invalid types for comparison.
load Group_Test load labelIdx.mat [c,cm,ind,per] = confusion(Group_Test1,labelIdx); figure cm = confusionchart(cm); cm.Colu...
2 years ago | 1 answer | 0
1
answerQuestion
Relational comparisons are not allowed for categorical arrays that are not ordinal
The error is due to the difference in the type of the array. How can I change the type of the array so that the code works.Look ...
2 years ago | 1 answer | 0
1
answerIndex in position 2 exceeds array bounds (must not exceed 1).
%label.m setup_folders; sadtrdinfo = dir(sad1train); % Returns both folders and files % sad = dir(pwd); % Returns bot...
2 years ago | 0
Question
Index in position 2 exceeds array bounds (must not exceed 1).
load featurs_T load featurs_S load Group_Train load Group_Test load actual_label load predict_label load predict_label ...
2 years ago | 3 answers | 0
3
answersQuestion
No constructor 'handle.listener' with matching signature found.
I need to compare between two classifiers can anyone help me to compute the accuracy of these classifiers? No constructor 'ha...
2 years ago | 0 answers | 0
0
answersQuestion
Invalid RHS for assignment to a categorical array.
function [result] = multisvm(TrainingSet,Group_Train1,TestSet,actual_label) %Models a given training set with a corresponding...
2 years ago | 1 answer | 0
1
answerQuestion
How can I get the prediction matrix to use in voting between two classifiers?
function [result] = multisvm(TrainingSet,Group_Train1,TestSet,Group_Test1) %Models a given training set with a corresponding ...
2 years ago | 0 answers | 0
0
answersQuestion
Is it possible to get a code to vote among the max accuracy for each image for two classifiers.
For example, the accuracies of recognition of each classifier on this image. Then compare the two accuracies and choose the maxi...
2 years ago | 0 answers | 0
0
answersQuestion
Index exceeds the number of array elements (2).
load featurs_T load featurs_S load Group_Train load Group_Test load featurs_TLBP load featurs_SLBP result= multis...
2 years ago | 1 answer | 0
1
answerQuestion
How to apply majority voting for classification ensemble in Matlab? HOG-SVM & LBP-SVM
load featurs_T load featurs_S load Group_Train load Group_Test result= multisvm(Feat1,Group_Train1,Feat2,Group_Test1)...
2 years ago | 0 answers | 0
0
answersQuestion
Cannot find an exact (case-sensitive) match for 'lbp'
clear all clc PF = 'D:\Project\DB1\train\' % Parent Folder SFL = dir(PF) ;% List the sub folders [mp, np] = size(SFL); %...
2 years ago | 1 answer | 0
1
answerQuestion
SAMPLE and TRAINING must have the same number of columns. after using pca
load featurs_T load featurs_S load Group_Train load Group_Test %{ cv_x=cov(Feat1); [V,D] = eig(cv_x); d=diag(D); d=d(end...
3 years ago | 1 answer | 0
1
answerQuestion
The length of GROUP must equal the number of rows in TRAINING.
load featurs_T load featurs_S load Group_Train load Group_Test Feat1 = pca(Feat1); Feat2 = pca (Feat2); %-------------...
3 years ago | 0 answers | 0
0
answersQuestion
The pooled covariance matrix of TRAINING must be positive definite.
clc clear all load featurs_T load featurs_S load Group_Train load Group_Test cv_x=cov(Feat1); [V,D] = eig(cv_x); d=d...
3 years ago | 1 answer | 0
1
answerQuestion
Writing TIFFs with 9 components is not supported with IMWRITE. Use Tiff instead. Type "help Tiff" for more information.
clear;clc;close all % Load the Image Dataset of Normal and Malignant WBC imdsTrain = imageDatastore('D:\Project\DB1\train'...
3 years ago | 1 answer | 0
1
answerQuestion
1-bit TIFF images having more than 1 channel are not supported.
clear;clc;close all % Load the Image Dataset of Normal and Malignant WBC imdsTrain = imageDatastore('D:\Project\DB1\train'...
3 years ago | 1 answer | 0
1
answerQuestion
Accuracy is very low! When I used a small part of the data set, the accuracy reached 15%, and when I used the whole data set, the accuracy was zero
function [result] = multisvm(TrainingSet,Group_Train1,TestSet,Group_Test1) %Models a given training set with a corresponding ...
3 years ago | 0 answers | 0
0
answersQuestion
Error using trainingOptions (line 269) The value of 'ValidationData' is invalid. The datastore used for 'ValidationData' must return a 2-column table or an M-by-2 cell array.
clear;clc;close all % Load the Image Dataset of Normal and Malignant WBC imdsTrain = imageDatastore('D:\Project\DB1\train','In...
3 years ago | 1 answer | 0
1
answerQuestion
The value of 'ValidationData' is invalid. Validation data must be a table, a datastore, or a cell array with input data and responses.
clear;clc;close all % Load the Image Dataset of Normal and Malignant WBC imdsTrain = imageDatastore('D:\Project\DB1\train','In...
3 years ago | 1 answer | 0
1
answerQuestion
Invalid training data. X must be a 4-D array of images, an ImageDatastore, or a table.
clear;clc;close all % Load the Image Dataset of Normal and Malignant WBC imdsTrain = imageDatastore('D:\Project\DB1\train','In...
3 years ago | 0 answers | 0
0
answersQuestion
Too many input arguments.
clear;clc;close all net = inceptionv3; inputSizeNet = net.Layers(1).InputSize; %Convert the network to a dlnetwork obje...
3 years ago | 1 answer | 0
1
answerQuestion
Array formation and parentheses-style indexing with objects of class 'matlab.io.datastore.ImageDatastore' is not allowed.
clear;clc;close all % Load the Image Dataset of Normal and Malignant WBC %imds = imageDatastore('D:\Project\DB1\train','Incl...
3 years ago | 1 answer | 0
1
answerQuestion
The number of observations must be a positive integer greater than one.
clear;clc;close all % Load the Image Dataset of Normal and Malignant WBC %imds = imageDatastore('D:\Project\DB1\train','Incl...
3 years ago | 2 answers | 0
2
answersQuestion
Unrecognized method, property, or field 'Min' for class 'nnet.cnn.layer.ImageInputLayer'.
clear;clc;close all % Load the Image Dataset of Normal and Malignant WBC %imds = imageDatastore('D:\Project\DB1\train','Includ...
3 years ago | 1 answer | 0
1
answerQuestion
split data by classes
Hello everyone .I want code split data in two class based on the Excel file ,where 01 and oo non_melanoma and 1 0 melanoma . ...
3 years ago | 0 answers | 0
0
answersQuestion
Why Accuracy is zero
function [result] = multisvm(TrainingSet,Group_Train1,TestSet,Group_Test1) %Models a given training set with a corresponding ...
3 years ago | 1 answer | 0
1
answerQuestion
Too many input arguments.
function [result] = multisvm(TrainingSet,Group_Train1,TestSet,Group_Test1) %Models a given training set with a corresponding ...
3 years ago | 0 answers | 0
0
answersQuestion
X and Y do not have the same number of observations.
setup_folders; sadtrdinfo = dir(sad1train); % Returns both folders and files % sad = dir(pwd); % Returns both folders and ...
3 years ago | 1 answer | 1
1
answerQuestion
why accuracy is zero
function [result] = multisvm(TrainingSet,GroupTrain,TestSet) %Models a given training set with a corresponding group vector a...
3 years ago | 2 answers | 0
2
answers
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