搜索资源列表
C4_5
- 数据挖掘算法，分类树的C4.5算法，用于模式分类-data mining algorithms, the C4.5 classification tree algorithm for pattern classification
C4.5算法
- 数据挖掘中的决策树C4.5算法的实现,用matlab实现-Data Mining Decision Tree Algorithm of C4.5, using Matlab to achieve
CART_iris
- matlab数据挖掘算法。实用cart决策树进行分类，可识别多类。decision tree algorithm, classification.-Matlab data mining algorithms. Practical cart decision tree classification, identification number category. Decision tree algorithm, the classification.
C4_5.rar
- 决策树C45，用matlab编写的，数据挖掘算法。,Decision Tree C45, prepared by matlab, data mining algorithms.
decision_tree_cart.rar
- 决策树cart，用matlab编写的，数据挖掘算法。,Decision tree cart, prepared using matlab, data mining algorithms.
knnsearch
- 寻找测试样本的最近邻，可以有效的用于用于模式识别，信号处理-This is a small but efficient tool to perform K-nearest neighbor search, which has wide Science and Engineering applications, such as pattern recognition, data mining and signal processing. The code was initially
C4_5
- C4.5决策树算法，可以进行数据分类，是数据挖掘的经典算法-C4.5 decision tree algorithm, data classification, is a classic data mining algorithm
DM5
- 数据挖掘能处理大量的非线性数据，需要引入决策树才正确地理解应用-Data mining can deal with a large number of nonlinear data, need to introduce the decision tree to correctly understand the application
CART
- Matlab环境下用于数据挖掘的决策树算法源代码，CART算法-Matlab environment for data mining decision tree algorithm source code, CART algorithm
Files-and-Codes
- -data mining-Naive Bayesian Classifier -Decision Tree- K--data mining-Naive Bayesian Classifier -Decision Tree- KNN