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I am trying to load and use a dataset in order to run some algorithms(Neural Networks) in Matlab. I've downloaded a dataset from the internet which has instances and attributes.
I've saved that dataset as a plain text file, and also with the extension .data or .mat. But I am not able to import and use it in Matlab.
How should I do? I also have to define a training and a test set after.
Thank you in advance.
I have to mention I am new to Matlab and trying to study it as a hobby.
You can just load the data by:
data = load('wine.data');
Then, you can split the data to training and testing very easily.
Here, I put 70% data for training and 30% for testing, but you could choose other fraction. 60-40 or 80-20
data = data(randperm(end), :);
traindata = data(1:floor(0.7*size(data, 1)), :);
testdata = data(floor(0.7*size(data, 1))+1:end, :);
In the end, when you want to run the classifier, remember that in this dataset, the first column is the label and the rest are features.
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IND_STRT = 0;
ALL_STRT = IND_STRT:12:510;
cmd_data = zeros(length(ALL_STRT),1); %example: x=zeros(1,21) gives you a 1 by 21 matrix
for ii = 1:length(ALL_STRT) %declare variable ii to run from the row of length
if ~isempty(data{i})
cmd_data(ii) = cell2mat(textscan(char(data{i}(ALL_STRT(ii):(ALL_STRT(ii)+4))),'%f'));
end
end
I need to read the EPS from EnduroSat, however i have difficulty understanding the line cmd_data(ii) = cell2mat(textscan(char(data{i}(ALL_STRT(ii):(ALL_STRT(ii)+4))),'%f'));
Im required to utilised MatLab to code and this particular line have an error and i don't understand why.
Whenever you see a complicated line like this in MATLAB, try to break it up.
% find some indices. These values have been selected by the programmer/data, can't say why.
a=ALL_STRT(ii):(ALL_STRT(ii)+4)
% obtain that articular section of the data
b=data{i}(a)
% convert it to a char data type (characters)
c=char(b)
% scan text, and treat them as float
d=textscan(c,'%f')
% the output is a cell array, we want a matrix instead. Make the cell array into a matrix.
cmd_data(ii) = cell2mat(d)
You can read particularly what each of these do better in their documentation pages, and you can see it work if you put a break-point in the code, and see what each of this parts output when you call it. Learn how to debug, is a very very powerful tool
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Suppose I have two values like 100 and 80 now I wish to store these 2 values in the memory but with in one variable without creating a array or file handling and the thing is retrieving the same values afterwards at another place
It could be a strange approach, but this allows having a single varaible actually holding two varaibles.
You can create a complex varaible in which the real part is the first varaible and the imaginary part is the second variable.
a=100;
b=80
c=complex(a,b)
You can retrieve the original values using the real and imag functions
a=real(c)
b=imag(c)
Hope this helps.
Qapla'
a=80;
b=100;
c = [a,b]; % array (row)
c = [a;b]; % array (column)
c.a=a;c.b=b; % struct
c = {a,b}; % cell
Several options available.
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Assuming we use Matlab, what is the best way to search for a string in a large text file (can be bigger than 1GB)? Reading the entire file into memory would be costly.
You need to look into this:Importing Large text data.
The method would be to use blocks. Load Data in blocks.
It can be done by the range input argument in xlsread. In the range itself, you can specify the columns as well..
Syntax:
num = xlsread(filename,sheet,xlRange)
Example:
filename = 'myExample.xlsx';
sheet = 1;
xlRange = 'B2:C3';
subsetA = xlsread(filename, sheet, xlRange)
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In my matlab program i am reading the data file using fscanf and writing the the code code to read all the values.That makes me write several steps.
How to use Load() function to overcome this ad make it simple.
So the way load works is to load variables from MATLAB binary/ascii files. In order to create said files you'll have to use the save function e.g.
octave:3> T = "Hello"
T = Hello
octave:4> save "-binary" "testfile" T
octave:5> clear
octave:6> T
error: 'T' undefined near line 1 column 1
octave:6> load "-binary" "testfile" T
octave:7> T
T = Hello
octave:8>
Sorry I used octave for the example but it's the same code either way. So if you know your going to be using the same data just save it in a MATLAB's binary format. It should save your self the time of having to use fscanf on it next time your playing around with the data.
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I have 2 data set point cloud and I want to crop a part of them together.
Because of volume of them is too too large I couldn't crop them with below codes.
Can you help me to how can I crop them?
Used codes are:
selectedl=[];%% last pulse
for i=1:size(indexl)
selectl=lr(indexl(i),:);
selectedl=[selectedl;selectl];
end
selectedf=[];%% first pulse
for i=1:size(indexf)
selectf=fr(indexf(i),:);
selectedf=[selectedf;selectf];
end
Thank U all.
It is a bit difficult to understand what you want to do, as lr, fr, indexl and indexf are missing.
But assuming something like
lr = rand(5,3) ;
indexl = [2 5] ;
I would advise to allocate selectedl above the loop
selectedl = NaN(length(indexl),size(lr,2)) ;
for i = 1:length(indexl)
selectedl(i,:) = lr(indexl(i),:) ;
end
This might not be needed for this example, but if the data size becomes larger this will speed up the loop.