文件名称:hdda_toolbox_1.1
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- 上传时间:2012-11-12
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The High Dimensional Discriminant Analysis (HDDA) toolbox contains an efficient supervised classifier for high-dimensional data. This classifier is based on Gaussian models adapted for high-dimensional data.
Reference: C. Bouveyron, S. Girard and C. Schmid, High Dimensional Discriminant Analysis, Communications in Statistics: Theory and Methods, vol. 36 (14), 2007.-The High Dimensional Discriminant Analysis (HDDA) toolbox contains an efficient supervised classifier for high-dimensional data. This classifier is based on Gaussian models adapted for high-dimensional data.
Reference: C. Bouveyron, S. Girard and C. Schmid, High Dimensional Discriminant Analysis, Communications in Statistics: Theory and Methods, vol. 36 (14), 2007.
Reference: C. Bouveyron, S. Girard and C. Schmid, High Dimensional Discriminant Analysis, Communications in Statistics: Theory and Methods, vol. 36 (14), 2007.-The High Dimensional Discriminant Analysis (HDDA) toolbox contains an efficient supervised classifier for high-dimensional data. This classifier is based on Gaussian models adapted for high-dimensional data.
Reference: C. Bouveyron, S. Girard and C. Schmid, High Dimensional Discriminant Analysis, Communications in Statistics: Theory and Methods, vol. 36 (14), 2007.
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下载文件列表
hdda_toolbox/
hdda_toolbox/README
hdda_toolbox/hdda_demo.m
hdda_toolbox/hdda_find_seuil.m
hdda_toolbox/hdda_classif.m
hdda_toolbox/hd_data.mat
hdda_toolbox/hdda_learn.m
hdda_toolbox/simul_data.m
hdda_toolbox/README
hdda_toolbox/hdda_demo.m
hdda_toolbox/hdda_find_seuil.m
hdda_toolbox/hdda_classif.m
hdda_toolbox/hd_data.mat
hdda_toolbox/hdda_learn.m
hdda_toolbox/simul_data.m
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