Description: Decision tree, it is classic, not an ordinary classic, you take a look at it
- [567] - Realizing of ID3 Decision Tree using JAV
- [jueceshur8] - Decision tree classifier is constructed
- [id3] - Classical decision tree algorithm, in wh
- [DecisionTree] - This Decision Tree is developed in java
- [NeC45] - NeC4.5 is a variant of C4.5 decision tre
- [Decision_Tree_Program] - decision tree algorithm
File list (Check if you may need any files):
decision tree
.............\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