Evaluating performance of agglomerative clustering for extended NMF
暂无分享,去创建一个
[1] Puneet Jai Kaur,et al. Cluster quality based performance evaluation of hierarchical clustering method , 2015, 2015 1st International Conference on Next Generation Computing Technologies (NGCT).
[2] Rinkle Rani,et al. General correlation coefficient based agglomerative clustering , 2018, Cluster Computing.
[3] Qishan Zhang,et al. A privacy preserving clustering technique using hybrid data transformation method , 2009, 2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009).
[4] Deepshikha Bhargava,et al. An illustration to secured way of data mining using privacy preserving data mining , 2017 .
[5] Jie Wang,et al. NNMF-Based Factorization Techniques for High-Accuracy Privacy Protection on Non-negative-valued Datasets , 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).
[6] Shusaku Tsumoto,et al. Comparison of clustering methods for clinical databases , 2004, Inf. Sci..
[7] Renaud Gaujoux,et al. A flexible R package for nonnegative matrix factorization , 2010, BMC Bioinformatics.
[8] G. Stefansson,et al. Robustness of fish assemblages derived from three hierarchical agglomerative clustering algorithms performed on Icelandic groundfish survey data , 2011 .
[9] António E. Ruano,et al. Comparison of different methods of measuring similarity in physiologic time series , 2017 .