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Invalid types for comparison.
load Group_Test load labelIdx.mat [c,cm,ind,per] = confusion(Group_Test1,labelIdx); figure cm = confusionchart(cm); cm.Colu...
mehr als 3 Jahre vor | 1 Antwort | 0
1
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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 ...
mehr als 3 Jahre vor | 1 Antwort | 0
1
AntwortIndex 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...
mehr als 3 Jahre vor | 0
Frage
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 ...
mehr als 3 Jahre vor | 3 Antworten | 0
3
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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...
mehr als 3 Jahre vor | 0 Antworten | 0
0
AntwortenFrage
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...
mehr als 3 Jahre vor | 1 Antwort | 0
1
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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 ...
mehr als 3 Jahre vor | 0 Antworten | 0
0
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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...
fast 4 Jahre vor | 0 Antworten | 0
0
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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...
fast 4 Jahre vor | 1 Antwort | 0
1
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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)...
fast 4 Jahre vor | 0 Antworten | 0
0
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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); %...
fast 4 Jahre vor | 1 Antwort | 0
1
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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...
fast 4 Jahre vor | 1 Antwort | 0
1
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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); %-------------...
fast 4 Jahre vor | 0 Antworten | 0
0
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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...
fast 4 Jahre vor | 1 Antwort | 0
1
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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'...
fast 4 Jahre vor | 1 Antwort | 0
1
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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'...
fast 4 Jahre vor | 1 Antwort | 0
1
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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 ...
fast 4 Jahre vor | 0 Antworten | 0
0
AntwortenFrage
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...
fast 4 Jahre vor | 1 Antwort | 0
1
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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...
fast 4 Jahre vor | 1 Antwort | 0
1
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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...
fast 4 Jahre vor | 0 Antworten | 0
0
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Too many input arguments.
clear;clc;close all net = inceptionv3; inputSizeNet = net.Layers(1).InputSize; %Convert the network to a dlnetwork obje...
fast 4 Jahre vor | 1 Antwort | 0
1
AntwortFrage
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...
etwa 4 Jahre vor | 1 Antwort | 0
1
AntwortFrage
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...
etwa 4 Jahre vor | 2 Antworten | 0
2
AntwortenFrage
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...
etwa 4 Jahre vor | 1 Antwort | 0
1
AntwortFrage
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 . ...
etwa 4 Jahre vor | 1 Antwort | 0
1
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Why Accuracy is zero
function [result] = multisvm(TrainingSet,Group_Train1,TestSet,Group_Test1) %Models a given training set with a corresponding ...
etwa 4 Jahre vor | 1 Antwort | 0
1
AntwortFrage
Too many input arguments.
function [result] = multisvm(TrainingSet,Group_Train1,TestSet,Group_Test1) %Models a given training set with a corresponding ...
etwa 4 Jahre vor | 0 Antworten | 0
0
AntwortenFrage
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 ...
mehr als 4 Jahre vor | 1 Antwort | 1
1
AntwortFrage
why accuracy is zero
function [result] = multisvm(TrainingSet,GroupTrain,TestSet) %Models a given training set with a corresponding group vector a...
mehr als 4 Jahre vor | 2 Antworten | 0
