I run a clustering algorithm and want to evaluate the result by using
silhouette score in scikit-learn. But in the scikit-learn, it needs to
calculate the distance matrix: distances = pairwise_distances(X,
metric=metric, **kwds)
Due to the fact that my data is order of 300K, and my memory is 2GB,
leading to the result that out of memory.
Does anyone know how to overcome this problem or not? Thank you for your
help.
--
Nguyen Thien Bao
NeuroInformatics Laboratory (NILab),
Fondazione Bruno Kessler (FBK), Trento, Italy
Centro Interdipartimentale Mente e Cervello (CIMeC)
Universit`a degli Studi di Trento, Italy
Email: [email protected] or [email protected]
Cellphone: +39.345.293.1006 (Italy)
Cellphone: +84.996.352.452 (VietNam)
------------------------------------------------------------------------------
Learn Graph Databases - Download FREE O'Reilly Book
"Graph Databases" is the definitive new guide to graph databases and
their applications. This 200-page book is written by three acclaimed
leaders in the field. The early access version is available now.
Download your free book today! http://p.sf.net/sfu/neotech_d2d_may
_______________________________________________
Scikit-learn-general mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
