spectralcluster error during kmeans for large number of clusters

Hello, I made this call:

idx = spectralcluster(D,1000,'Distance','precomputed');

where size(D) = ~[14k,14k]. I get the error given below. When I greatly reduce the number of clusters (~30), the function runs successfully.

What can I do to get more clusters?

Error using kmeans (line 166)

Invalid data type. The first argument to KMEANS must be a real array.

Error in spectralcluster>clusterEigenvectors (line 191)

idx = kmeans(V,k,'Replicates',5);

Error in spectralcluster (line 179)

labels = clusterEigenvectors(Vnonan,k,clustMethod);

Answer 1

[Dheeraj Singh]

For estimating the number of clusters, you can use the following Tips:

1. Consider using spectral clustering when the clusters in your data do not naturally correspond to convex regions
2. From the spectral clustering algorithm, you can estimate the number of clusters k as:

• The number of eigenvalues of the Laplacian matrix that are equal to 0.
• The number of connected components in your similarity graph representation. Use graph to create a similarity graph from a similarity matrix, and use conncomp to find the number of connected components in the graph.

Refer to the following link for an example:

https://in.mathworks.com/help/stats/partition-data-using-spectral-clustering.html#mw_88e191c3-9d2b-463d-8b01-68e0bd9f006a