文件名称:decision+tree
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 626kb
- 下载次数：
- 0次
- 提 供 者：
- 朱*
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
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决策树，很经典，不是一般的经典，你看看吧-Decision tree, it is classic, not an ordinary classic, you take a look at it
相关搜索： decision
tree
决策树
tree
Decision
Tree
matlab
id3
matlab
tree
matlab
tree
matlab
decision
决策
决策树
matlab
tree
决策树
tree
Decision
Tree
matlab
id3
matlab
tree
matlab
tree
matlab
decision
决策
决策树
matlab
(系统自动生成,下载前可以参看下载内容)
下载文件列表
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
.............\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