搜索资源列表
TreeID3
- 决策树ID3分类算法以及朴素贝叶斯分类算法可以用于数据的分类-Decision tree ID3 classification algorithm and the naive Bayesian classifier algorithm can be used for data classification
shuzituxiangzuoye-
- 对遥感图像进行无监督分类，形成决策树，实现地物的标定-Unsupervised classification of remote sensing images to form a decision tree, the calibration of surface features
C4_5
- 应用Matlab工具编写程序进而实现决策树C4.5分类算法-Use Matlab to make desicion tree
classification
- 关于分类的相关PDF，主要针对决策树方面，里面包括证据理论的相关概念和知识。对DS有详细的介绍。-decision tree
jcsb
- 文中研究了6种常用数字调制信号识别的特征参数集，并采用决策树判别方法进行分类识别。仿真结果表明，在SNR≥5dB时，识别正确率在99 以上，且当SNR≥20dB时，识别正确率达到100 。其特点是，算法简单，识别正确率高，达到了自动分类识别的目的，并有利于实现识别的实时化。-In this paper, we study the set of characteristic parameters of the six kinds of commonly used digital modulatio
classifier
- 该源码实现了决策树C4.5算法，用于分类预测-This source realized the decision tree C4.5 algorithm used for classification prediction
VSVMDecisionM
- VM分类器通常具有较高的分类精度。我这里不想过多的去说SVM是怎么回事，，只是提供一种使用SVM进行判别的方法。决策树与SVM的结合，可以分多类。 -VM classifier usually has high classification accuracy. I do not want too much to say that SVM is how, just a SVM is used to discriminate. Combination of decision tree and S
algorithms
- 分类算法是统计学分类方法，它是一类利用概率统计知识进行分类的算法。在许多场合，朴素贝叶斯(Naï ve Bayes，NB)分类算法可以与决策树和神经网络分类算法相媲美，该算法能运用到大型数据库中，且方法简单、分类准确率高、速度快。-The classification algorithm is the statistical classification, it is a knowledge of probability and statistics classification alg
Improved-ICA-character-recognition
- 该算法一种结合改进的基于独立分量分析（ICA）提取算法和基于多层感知器和单向二叉决策树的多类支持向量机分类方法。-The algorithm is a combination of improved based on independent component analysis (ICA) algorithm and multi-class support vector machine classification method based on binary decision tree of
decision-tree
- 基于决策树的增量学习算法相关文档，主要用于文本分类-Incremental learning algorithm based on decision tree document, mainly for text classification
MY_ID3
- 这是用C++实现的ID3决策树，决策树算法是非常常用的分类算法，是逼近离散目标函数的方法，学习得到的函数以决策树的形式表示。-ID3 decision tree, the decision tree algorithm implementation in C++ is a very commonly used classification algorithms, approximation discrete objective function, the learning function to
tree
- 对于iris数据集的分类算法，决策树的分类算法-a classfiler algorithm，about the decision tree
id3
- 数据挖掘十大经典算法中 的决策树中的id3分类算法 -data mining id3 sort method
decision-tree
- 关于决策树C4.5算法的几篇学术论文（基于C4.5算法的遥感影像分类）-Several papers (C4.5 decision tree algorithm C4.5 algorithm based on image classification)
id3
- 数据挖掘分类规则中的决策树算法中的ID3算法，对于理解数据挖掘有一定的帮助。-Data mining classification rules in the decision tree algorithm ID3 algorithm, is certainly helpful for understanding data mining.
zoo
- zoo数据集，适用于研究数据挖掘分类算法，决策树算法等的数据集，包含数据的属性说明，数据量适中-zoo datasets for research data mining classification algorithms, decision tree algorithm, such as data sets, including data attributes described moderate amount of data
DataMine_ID3_Rule_chenwen
- 功能强大的 数据挖掘分类算法ID3决策树实现，及用Drools规则引擎计算规则命中率-the athornirge for the data mine ID3 distuction tree and rule engine
datamining-algorithm
- 数据挖掘的经典算法的java实现，含源码和说明。包括了ID3决策树，贝叶斯分类器等经典算法。-A Java implementation of classic data mining algorithm, including source code and instructions. Including the ID3 decision tree, bayes classifier and classic algorithms.
decisiontree-text-classfication
- 机器学习——决策树文本分类 基于vs2012编写，内有训练文本集。-machine-learning text classfication by decisiontree,program in the visualstudio2012.include a set of text to train.
DecisionTree-(2)
- 决策树，根据训练集的分类结果预测测试集的分类结果，在计算机视觉和模式识别中很有用-Decision tree , test set according to the classification results of the training set, is very useful in computer vision and pattern recognition