MATLAB: Large numbers in K means

MATLAB

I am trying to find the kmeans of 1 column with 1048575 numbers rows

and I am getting the error below

Error using kmeans (line 277)

X must have more rows than the number of clusters.

Error in svia (line 18)

[idx, C, miro , D] = kmeans(bibi, K);

Can anyone assist me in finding a solution for this.

Thanks in advance

Tino

Best Answer

What's unclear about the error? You must specify less cluster than the number of rows in your matrix/vector. So make sure that K is less than size(bibi, 1) (or numel(bibi) if a vector).

Related Solutions

MATLAB: Does this Error is shown when we use kmeans clustering : X must have more rows than the number of clusters.

In the kmeans documentation kmeans(X,k) .. here X is a n by d matrix where n is the number of instances and d is the dimension so your data X = 8688x100 you cluster your data into 5 clusters . Try this: kmeans(X(:),5)

MATLAB: Calculating kmeans on a GPU

gpuArray support for kmeans was added to MATLAB in R2016a

>> help gpuArray/kmeans
 kmeans K-means clustering for GPU data
    IDX = kmeans(X, K)
    [IDX, C] = kmeans(X, K)
    [IDX, C, SUMD] = kmeans(X, K)
    [IDX, C, SUMD, D] = kmeans(X, K)
    [ ... ] = kmeans(..., 'PARAM1',val1, 'PARAM2',val2, ...)
      Example:
          N = 1e6;
          X = gpuArray([randn(N,2)+ones(N,2); randn(N,2)-ones(N,2)]);
          [cidx, ctrs] = kmeans(X, 2);
      See also kmeans, gpuArray.

Best Answer

Related Solutions

MATLAB: Does this Error is shown when we use kmeans clustering : X must have more rows than the number of clusters.

MATLAB: Calculating kmeans on a GPU

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