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(2018). http:\/\/www.ece.northwestern.edu\/~wkliao\/Kmeans\/index.html open source code."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1967.10482916"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2013.06.013"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1982.1056489"},{"key":"e_1_3_2_1_42_1","unstructured":"LSST 2018. Large Synoptic Survey Telescope. (2018). http:\/\/www.lsst.org\/lsst\/  LSST 2018. Large Synoptic Survey Telescope. (2018). http:\/\/www.lsst.org\/lsst\/"},{"key":"e_1_3_2_1_43_1","unstructured":"INB. Molecular modeling and Bioinformatics Group. 2018. Molecular Dynamics Extended Library. (2018). http:\/\/mmb.pcb.ub.es\/MoDEL\/index.jsf  INB. Molecular modeling and Bioinformatics Group. 2018. Molecular Dynamics Extended Library. (2018). http:\/\/mmb.pcb.ub.es\/MoDEL\/index.jsf"},{"key":"e_1_3_2_1_44_1","unstructured":"NASA 2015. NASA-Center for Climate Simulation. (2015). http:\/\/www.nasa.gov\/topics\/earth\/features\/climate-sim-center.html  NASA 2015. NASA-Center for Climate Simulation. (2015). http:\/\/www.nasa.gov\/topics\/earth\/features\/climate-sim-center.html"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/1401132.1401152"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/PERCOM.2008.55"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.5555\/2388996.2389081"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/2807591.2807616"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/HiPC.2014.7116903"},{"key":"e_1_3_2_1_50_1","first-page":"727","article-title":"X-means: Extending k-means with efficient estimation of the number of clusters","volume":"1","author":"Pelleg Dan","year":"2000","unstructured":"Dan Pelleg , Andrew W Moore , and Others. 2000 . X-means: Extending k-means with efficient estimation of the number of clusters .. 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Multipolar representation of protein structure . Journal of Molecular Biology 7 , 95 (1963). G.N. Ramachandran, C. Ramakrishnan, and V. Sasisekharan. 1963. Multipolar representation of protein structure. Journal of Molecular Biology 7, 95 (1963).","journal-title":"Journal of Molecular Biology"},{"key":"e_1_3_2_1_54_1","volume-title":"An open source C++ implementation of multi-threaded Gaussian mixture models, k-means and expectation maximisation. arXiv preprint arXiv:1707.09094","author":"Sanderson Conrad","year":"2017","unstructured":"Conrad Sanderson and Ryan Curtin . 2017. An open source C++ implementation of multi-threaded Gaussian mixture models, k-means and expectation maximisation. arXiv preprint arXiv:1707.09094 ( 2017 ). Conrad Sanderson and Ryan Curtin. 2017. An open source C++ implementation of multi-threaded Gaussian mixture models, k-means and expectation maximisation. arXiv preprint arXiv:1707.09094 (2017)."},{"key":"e_1_3_2_1_55_1","unstructured":"SDSS 2014. 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