Description: CART algorithm implementation process, based on matlab. Field of pattern recognition can be achieved classification and regression data. Containing instructions and routines.
- [CARTdataminingalgorithm.Rar] - CART data mining algorithm (MATLAB)
- [myMatlabfenlei] - Matlab on the classification of data min
- [ID3C4.5] - ID3 C4.5 of the source. Data Mining for
- [cart] - vc++ under the cart of the decision tree
- [C45_Sun] - C4.5 decision tree algorithm used in the
- [CART] - CART decision tree algorithm algorithm,
- [1] - Coin lesion, pulmonary Diagnosis, comput
- [ID3(MATLAB)] - Using the MATLAB language to complete th
- [CART] - Prepared using matlabR2007a code classif
- [test_draworb0] - Advanced information extraction based on
File list (Check if you may need any files):
CART\1.xls
....\build_tree.asv
....\build_tree.m
....\chongpai_1.asv
....\chongpai_1.m
....\chongpai_2.asv
....\chongpai_2.m
....\chongpai_3.asv
....\chongpai_3_0.asv
....\chongpai_3_0.m
....\chongpai_3_1.asv
....\chongpai_3_1.m
....\chongpai_4_0_0.m
....\chongpai_4_0_1.m
....\chongpai_4_1_0.m
....\chongpai_4_1_1.m
....\chong_2.asv
....\chong_2_0.asv
....\chong_2_0.m
....\chong_2_1.asv
....\chong_2_1.m
....\classificate.m
....\classificate_root.m
....\class_ret.mat
....\class_test.mat
....\class_train.mat
....\clear_variable.m
....\count.asv
....\count.m
....\countclass.asv
....\countclass.m
....\DataNormalitation.asv
....\DataNormalitation.m
....\datarow.mat
....\DataTransformation.asv
....\data_decimal.mat
....\data_min_max.mat
....\data_result.m
....\data_ret.mat
....\data_z_score.mat
....\draw_tree.m
....\give_resule.asv
....\give_result.m
....\mingini.m
....\rule.asv
....\rule_base.asv
....\rule_base.m
....\rule_construct.asv
....\rule_construct.m
....\split.asv
....\split.m
....\test_A.asv
....\test_A.m
....\tihuan.asv
....\tihuan.m
....\xiongmen.xls
CART
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