Questions tagged [matlab]
MATLAB is a high-level language and interactive programming environment for numerical computation and visualization developed by MathWorks. Don’t use both the [matlab] and [octave] tags, unless the question is explicitly about the similarities or differences between the two. When using this tag, please mention the MATLAB release you're working with (e.g. R2017a).
0
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2answers
22 views
Linear regression incorrect prediction using Matlab
In the plot below the red crossed line is the actual curve and the crossed blue line is the predicted curve. I am using least squares for linear prediction. I have used 1:79 examples in training and ...
4
votes
1answer
190 views
Training a classifier when some of the features are unknown
I am training a classifier in Matlab with a dataset that I created.
Unfortunately some of the features in the dataset were not recorded.
I currently have the unknown features set as -99999.
So, for ...
1
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0answers
36 views
Why are pandas/R/etc so common in a data scientist or analyst's workflow when one can resort to UDFs in an RDBMS?
It seems common for an analyst to have this workflow when using an RDBMS: use SQL to get a subset of data from the database, export it or use a connector, and then apply a data mining / model ...
0
votes
1answer
32 views
Advice on transitioning from Andrew Ng's Stanford Coursera Machine Learning (in MATLAB) into Python?
I'm currently finishing up Andrew Ng's Coursera course, taught in MATLAB/Octave, but I'm looking to code in Python. The course is an introduction into how some algorithms work from scratch. These ...
1
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1answer
30 views
Tuning C hyper parameter in Soft Margin SVM in Matlab
How to tune the C 'BoxConstraint' hyperparameter in soft margin SVM to get the best optimal value?
1
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2answers
21 views
Where can I find an algorithm for human activity classification using thigh and shank sensors?
I am working on a project where I initially need to classify the type of activity a subject is performing based on raw accelerometer and gyroscope data from the thigh and shank of both legs. The type ...
0
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0answers
11 views
Hard margin SVM in Matlab
How can I build a hard margin svm model using matlab builtin functions such as fitcsvm and fitclinear? Should I set the ...
1
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0answers
24 views
SVM hard and soft margins in matlab,
I am comparing the performances of several SVM models in matlab using the fitcsvm function,
and I want to double check that I am using the correct syntax
for hard ...
0
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0answers
28 views
SVM hyperparameters using Matlab's fitcsvm and OptimizeHyperparameters
I am building SVM models and will compare their performances, linear vs RBF,
and I'm using OptimizeHyperparameters to get best hyperparameters C (BoxConstraints)
...
0
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0answers
18 views
DNN practice: errors and strange behavior
I've built a neural net for regression, with stochastic updates, for practice (shared below). It's having trouble modeling test data if more than one hidden layer is used.
The test outputs are a ...
0
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0answers
20 views
Local Binary Patterns features using matlab 'extractLBPFeatures'
I am trying to understand the extractLBPFeatures function to extract the 59 uniform features, here is a simple code that extracts the 59 features from an image
<...
0
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0answers
10 views
Local Binary features with unit16 images vs unit8 images
I have unit16 image dataset, and I would like to extract LBP features from it using the Matlab function extractLBPFeatures, which uses uniform LBP (59 features).
...
2
votes
2answers
62 views
Setting best SVM hyper parameters
I have a non linear data set, and I am using SVM (RBF kernel) to build a classification model, but not sure how to set the best hyperparameters of the SVM, C and gamma in Matlab ...
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0answers
9 views
Local Binary Patterns features
I have a dataset of images that differ in sizes, and when I extract the local binary pattern (uniform local binary 59 feature) from them I get several features as zeros, is it acceptable as features, ...
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0answers
21 views
Plotting ROC curve in cross validation using Matlab perfcurve
I have the following code for a binary classifying using SVM, and 10 cross-validation,
...
5
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2answers
86 views
Data Visualization with multiple dimension, and linear separability
I have a dataset of two classes with several features, how can I visualise such data using Matlab to decide if it is linear separable or not?
2
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2answers
33 views
Convolution Neural Networks on microcontrollers
I am wondering if an already trained convolutional neural network can be represented as a formula just like a perceptron can ($x_1w_1 + x_2w_2 + \ldots =$ PREDICTION). I know that the formula could be ...
0
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0answers
23 views
Improve precision of binary classification - SVM in Matlab
I'm using linear SVM for binary classification. The classes were imbalanced so I decided to under-sample the majority class. I have 34 features and the data includes 2000 observations. I think now ...
2
votes
1answer
33 views
Is splitting the data set into train and validation applicable in unsupervised learning?
I am having a tough time implementing all the steps of setting up support vector machine (SVM) for unsupervised learning. My data set is labelled but for educational purposes I am learning ...
1
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0answers
20 views
How to create a timeline graph ( Date / time series) in MATLAB?
The data file is attached https://ufile.io/ttwi8.How may I create a timeline graph where my y-axis is the number of cases(Demand and prediction as sjown in attached graph) and my x axis is increasing ...
2
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0answers
67 views
How to implement Moving window with LSTM for Time Series Prediction?
I am trying to implement a moving window in my dataset. The window size=14 (for instance).After implemntinf sliding window how to prepare inputs and outputs for netwok?
...
1
vote
1answer
59 views
How do I use LSTM Networks for time-series classification problems?
I have 2 binary outputs (1 and 0) with time series data. The dataset order is shown in the image..Can anyone suggest me how to handle this problem with LSTM? Particularly in MATLAB or Python. Thanks ...
1
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0answers
68 views
convert 16-Bit to 8-Bit images
I am using matlab, and I need to convert 16-bit images to 8-bit images (tif extention) ,
and I used
image = im2uint8(16bit_img);
image = uint8(16bit_img/256);
...
0
votes
0answers
12 views
Open image saved using python in matlab
I want to save the image created by matplotlib in python in .fig format to open it for editing in matlab. But it seems that savefig(.) in matplotlib does not support .fig for saving. How can I save ...
1
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0answers
85 views
Training a convolutional neural network for image denoising in Matlab
first time posting in this stack exchange.
I am currently trying to train CNNs to remove Poisson noise from images. The software I am using is Matlab 2018b, however the results I am getting are poor. ...
2
votes
2answers
64 views
Accuracy differs between MATLAB and scikit-learn for a decision tree
Is there any possibility to vary the accuracy of same data set in matlab and jupyter notebook by using python code ?
For same data set, at first I applied it in matlab and get 96% accuracy for ...
0
votes
1answer
30 views
Fuzzy rule based system: Should rules contain all inputs and outputs?
I am trying to design an FRBS using Matlab fuzzy tool box. The fuzzy system will be used to predict player's type based on the inputs and a set of rules defined by experts.
I have 6 inputs and 4 ...
1
vote
2answers
44 views
Poor performance for unbalanced dataset
Consider a dataset A which has examples for training in a binary classification problem. I have used SVM and applied the weighted method (in MATLAB) since the ...
0
votes
1answer
171 views
How can I increase the number of iterations per epoch in MATLAB?
I am training a deep learning network using MATLAB and would like to increase the number of iterations per epoch.
Using trainingOptions
...
1
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0answers
40 views
Using machine learning algorithm to approximate a matrix? [closed]
I don't know if this is a good question. I would like to use machine learning to approximate a matrix. For example, a very simple one as
\begin{align}
A=\begin{pmatrix}
1 &0 \\
0& 2
\end{...
1
vote
1answer
50 views
How can I create a pixel labelled image for Semantic Segmentation?
I am following the Semantic Segmentation Examples tutorial by MathWorks.
I understand that I can load pixel labeled images
...
0
votes
1answer
74 views
Graphically Speaking - how weight vector is perpendicular to hyperplane
why-is-weight-vector-orthogonal-to-decision-plane-in-neural-networks
vector-orthogonal-to-hyperplane
I wanted to visualize this by drawing a 3d plane where and the weight vector. By definition of ...
0
votes
1answer
29 views
Higher dimension data visualization in Matlab/Octave
I am working on sparse recovery for a classification task. I use Pine hyperspectral dataset which is a freely available dataset and this image contains 200 Dimension (Depth/channels/bands). In ...
1
vote
2answers
98 views
why nobody uses matlab [closed]
I wonder why most people now don't use matlab. I guess the reason is matlab is not free, so companies don't want to use it, then interviewees don't use it, then schools don't encourage it, then nobody ...
0
votes
1answer
37 views
Why the results from Matlab curve fitting function differ when using custom equation?
I'm using Matlab's curve fitting app, When I select Power fitting it returns values which perfectly describe the data but when I use the custom equation and enter ax^b as the equation it returns very ...
1
vote
1answer
35 views
Problem with calculating error rate for KNN
I am trying to validate the accuracy of my KNN algorithm for the movie rating prediction.
I have $2$ vectors: $Y$ - with the real ratings, $Y'$ - with predicted ones.
When I calculate Standard ...
1
vote
0answers
42 views
How can I combine images for Matlab deep learning?
I have a data set which consist a number of instances (of two-three different classes), and for each instance I have a handful of monochrome images. This handful of images have different resolutions (...
2
votes
0answers
274 views
Matlab: setting static iterations per epoch in a CNN
I'm building a convolutional neural network using Matlab's neural network toolbox. I have code designed to cross-train the network with different data sets, using the previous network's layers in ...
1
vote
1answer
244 views
Poor performance of SVM after training for rare events
I found out that Weighted SVM is a classification approach to handle class imbalance problem. My data set is highly imbalanced with rare event (minority class, labeled as 1) and the majority class (...
0
votes
1answer
77 views
Confusion regarding classification accuracy calculation and result
The total number of data points for which the following result is obtained = 1500. Out of which, I have
1473 labelled as 0 and
the remaining 27 as ...
2
votes
3answers
365 views
Which Format is Faster, Matlab (.mat) or NumPy (.npy)?
I am working on a deep learning problem to detect cancer in images of size 250 x 250. I have hardware limitations and I have been running out of memory.
I decided to convert my images to Matlab ...
1
vote
2answers
253 views
Terminology - cross-validation, testing and validation set for classification task
Confusion1) If k=10 then does this mean that 90% is for training and 10% for testing? So always we have k% for testing?
...
0
votes
2answers
113 views
Is ensemble learning using different classifier combination another name for Boosting?
For implementation I am following the Matlab code for AdaBoost. Based on my understanding, AdaBoost uses weak classifiers known as base classifiers and creates several instances of it. For example, a ...
4
votes
2answers
251 views
How to make sense of confusion matrix
Consider a binary classification problem with 0 labels denoting normal and 1 abnormal or rare. The number of instances with <...
3
votes
2answers
466 views
Why training and validation similar loss curves lead to poor performance
I am training a binary classification neural network model using matlab the graph that I got using 20 neurons in hidden layer is given below.
the confusion matrix and graph between cross entropy vs ...
0
votes
2answers
156 views
How to quantify the performance of the classifier (multi-class SVM) using the test data?
I am working on a traffic sign recognition code in MATLAB using Belgian Traffic Sign Dataset. The dataset consists of training data and test data.
I resized the given images and extracted HOG ...
2
votes
1answer
78 views
i need a characters /letters dataset for matlab
My final project is number plate recognition.i need a data set of A-Z characters and 0-9 letters. i donot find it on any website give me a data set or send me a link. i have to make a neural network ...
1
vote
1answer
292 views
What is difference between detrend and normalization? [closed]
matlab function detrend subtracts the mean from data. If data contains several data columns, detrend treats each data column separately.
One of the normalization technique is subtracting the mean ...
0
votes
1answer
249 views
Linear Regression of Sine wave using Gradient descent Not working [closed]
I am writing an algorithm to fit a sine wave. I want to have 4 parameters ( amplitude, frequency, phase & centre position). When I tried to program with all 4 parameters I wasn't able to find a ...
1
vote
0answers
215 views
How to identify ARIMA model parameters
I am trying to build ARIMA model, I have 144 terms in my standardized time series, which represent residuals form original time series. This residuals, on which I would like to build ARIMA model, are ...
