Hi Luigi, Actually my data has 621*1405 points and each point has 12 features. I made it into a 2-D array and kmeans works well. The last time I ran it used 64G RAM on a cluster. I don't know how much more RAM can I use.
BTW, 1502 issue is about Orange. Is it the same with sklearn? Thanks. On Thu, Nov 16, 2017 at 1:14 AM, Luigi Lomasto < l.loma...@innovationengineering.eu> wrote: > Hi Shiudan, > > You can try to see this link: https://github.com/ > biolab/orange3/issues/1502 > > You have 3D dimensional problem, right? For each feature you have 12 > values, so probably your RAM is small. How much RAM has your pc? > Let me know, > > Luigi > > > Il giorno 16 nov 2017, alle ore 09:18, Shiheng Duan <shid...@ucdavis.edu> > ha scritto: > > Hi all, > > I am doing cluster work and wanna use silhouette score to determine the > number of clusters. But I got MemoryError when execute silhouette_samples. > I searched it and found something related to numpy. But I cannot reproduce > the numpy error. Is there any solution to it? > > The data is 621*1405*12. > > Thanks! > > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn > > > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn > >
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