Clustering by fast search and find of density peaks code details, clusteringpeaks

Clustering by fast search and find of density peaks code details, clusteringpeaks
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The Clustering method Clustering by fast search and find of density peaks published in Science in 2014 is not described here. The detailed comments of its matlab code are given below, if you want to see the detailed explanation of this method, we recommend that you refer to this blog post on the basis of reading the original article.

Http://blog.csdn.net/itplus/article/details/38926837

All rights reserved in this article, please indicate the source

Http://blog.csdn.net/mxlmhgzw

I cannot see it clearly. Please refer to my blog

Http://blog.sina.com.cn/s/blog_6ca0f5eb0102vdt8.html

If an error occurs when running the code,

Y1 = mdscale (dist, 2, 'criterion ', 'metricsstress');

??? Error using ==> mdscale> metricStressCrit at 686

Points in the configuration have co-located. Try a different starting point, or use a different criterion.

 

Error in ==> mdscale> MDS at 498

[Stress, grad] = feval_r (stressFun, Y, disparities, weights );

 

Error in => mdscale at 404

[Y, stress, iter] = MDS (Y0, dissimilarities, weights, stressFun, metric, weighted, options );

 

Error in => cluster_dp at 181

You can change the last parameter to 'metricsstress', 'sammon', or 'strain'

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