Reputation: 2669
I have got a nx3
adjacency matrix that contains nodes in the first two dimension and the correspondant weight in the third dimension. I want to filter the matrix for specific thresholds (for nodes indexing). For example, I want to keep the adjacency matrix for nodes smaller than 10.000, 20.000, etc. Which is the most efficient way to do so in matlab? I tried to do the following, find the index which correspond to nodes:
counter = 1;
for i=1: size(graph4, 1)
if (graph4(i,1) >30000) | (graph4(i,2) >30000)
bucket(counter) = i;
counter=counter+1;
end
end
Upvotes: 0
Views: 133
Reputation: 14939
Suppose the adjacency matrix is A
as given below:
A =
8 1 6
3 5 7
4 9 2
11 4 9
6 8 10
7 12 5
17 10 15
12 14 16
13 18 11
If you want both column 1 and column 2 to be less than a value, you can do:
value = 10;
T = A(A(:,1) < value & A(:,2) < value, :)
T =
8 1 6
3 5 7
4 9 2
6 8 10
The following line seems to give the same results as your sample code (but it doesn't seem like it fits your description.
value = 10000;
bucket = find((A(:,1)>value) | A(:,2)>value)
I guess you made a mistake and want to increment the counter above the bucket-line and initialize it as counter = 0
before the loop? As it is now, it will be one more than the number of elements in the bucket-list.
Upvotes: 2