Matlab redundancies in a two column vector

In summary: It is a much simpler and more efficient method than using a loop to check for duplicates and can save you a lot of time and effort.In summary, to remove redundant values from a two-column vector in MATLAB, you can use the 'unique' function by specifying the data type of the values and using the output indices to construct a new vector with only the unique elements. This is a more efficient method than using a loop and can save time and effort.
  • #1
JCienfuegos
8
0
Hello
I am new to MATLAB and I am trying to perform the task of removing redundancies from a two column vector.
One column holds the indices, the other column holds the values. I don't know how to remove the redundant values!
Any ideas? I have hear that Unique works, but I have the feeling it is for arrays which are not indexed.
I tried using a loop that checked every element currently in the array before allowing another value to be added, but the loop wound up going on forever. So far, the loop has been running for about 20 minutes.
 
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  • #2
You can use the 'unique' function in MATLAB to remove redundant values from a two-column vector. It works by comparing the values in each column and eliminating any duplicates.To do this, you first need to specify the data type of the values in the vector. For example, if the values are integers, you can use the 'int8' or 'int16' command. Once the data type is specified, you can call the 'unique' function as follows: [~,IA,IC] = unique(vector,'rows','stable');The output IA contains the indices of the unique elements in the original vector, while IC contains the indices of the first occurrences of each unique value. You can then use this information to construct a new vector with only the unique elements from the original vector. For example, to construct a new vector called 'new_vector' with only the unique elements from the original vector, you can use the following syntax: new_vector = vector(IA,:);This will create a new vector which contains only the unique elements from the original vector.
 

What are Matlab redundancies in a two column vector?

Matlab redundancies refer to duplicate or repeated values in a two column vector. This means that there are two or more identical values in the vector, which can cause errors in calculations and analysis.

How can I identify redundancies in a two column vector using Matlab?

To identify redundancies in a two column vector, you can use the "unique" function in Matlab. This function will return a vector with only the unique values from the original vector, allowing you to compare the two and identify any duplicates.

What is the best way to remove redundancies in a two column vector in Matlab?

The most efficient way to remove redundancies in a two column vector in Matlab is by using the "unique" function. This function will not only identify the duplicates, but also remove them from the vector, leaving you with a vector containing only unique values.

Can I remove redundancies in a two column vector without altering its original order?

Yes, you can use the "stable" option with the "unique" function in Matlab. This will remove the redundancies while preserving the original order of the vector.

Are there any other methods to remove redundancies in a two column vector besides using the "unique" function in Matlab?

Yes, you can also use the "setdiff" function in Matlab, which will return the unique values in one vector that are not present in another vector. However, this method may not preserve the original order of the vector.

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