## Contents

```
function ccpdb = ccperdegest(G,bins,nsamples)
```

%CCPERDEGEST Estimate of mean clustering coefficient per degree bin. % % CCPD = CCPERDEGEST(G,B,N) computes the per-degree-bin clustering % coefficient, i.e., CCPD(k) is the mean clustering coefficient for nodes % in degree bin k. The graph G is assumed to be undirected, unweighted, % and to contain no self edges. This is *not* checked by the code. The % vector B gives the bin boundaries, see HISTC. The computation is % approximate, using wedge sampling. % % NOTE: This is an interface to the MEX function provided by % ccperdegest_mex.c. % % See also CCPERDEG, BINDATA. % % Tamara G. Kolda, Ali Pinar, and others, FEASTPACK v1.1, Sandia National % Laboratories, SAND2013-4136W, http://www.sandia.gov/~tgkolda/feastpack/, % January 2014

## License

Copyright (c) 2014, Sandia National Laboratories All rights reserved.

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ccpdb = ccperdegest_mex(G,bins,nsamples);