搜索资源列表
LVQ学习矢量化算法
- LVQ学习矢量化算法源程序 This directory contains code implementing the Learning vector quantization network. Source code may be found in LVQ.CPP. Sample training data is found in LVQ1.PAT. Sample test data is found in LVQTEST1.TST and LVQTEST2.TST. The
anncode
- 一个神经网络的程序 ，通过神经网络进行预测。内含测试数据，训练数据。-a neural network procedure for the adoption of neural network prediction. Intron test data, training data.
QP_suanfa
- 测试无约束优化定理求解最小值,包括测试数据,在VC下可以实现,已经调试成功.-test unconstrained optimization for minimum theorem, including test data, the VC can be achieved, debugging has been successful.
discriminable_matirx_builder
- 实现了粗糙集理论的可辨识矩阵的生成，输入为一个文本文件的数据方阵，以数据之间用Tab分开，用回车键分行，用Skowron用可辨识矩阵的方法实现对不分明类的生成。压缩包里面还有一个测试数据。-realization of the rough set theory of identification matrix generation, import text files to a data matrix. Data used to Tab between the separate branches
Threeway.tar
- Tucker, PARAFAC, GRAM, RAFA and misc. 2nd order models with a test data set (old version now covered by the N-way Toolbox)-Tucker, B6, GRAM, RAFA and misc. 2nd order models with a test's data et (old version now covered by the N-way Toolbox )
precision_
- 对比分类器的测试数据和输出结果，给出Precsion，Recall和F-Measure-contrast classification of the test data and output the results, given Precsion. Recall and F-Measure
ecoli
- KDD的专业测试数据集ecoli，投KDD的可要同一使用他的数据集哈-KDD professional ecoli test data sets, the cast, until KDD he used the same data sets Kazakhstan
clusterglass
- KDD的专业测试数据集glass，投KDD的可要同一使用他的数据集哈-KDD professional glass test data sets, for me, KDD he used the same data sets Kazakhstan
ann_m
- 转载：对神经网络中使用最广泛的一种：BP神经网络采用vbmatlab来实现，把训练数据拷入，load的*.m文件中, 文件中部load的*.m为测试数据 save 存盘的文件为测试数据的bp预测值, 该程序可以扩充n个输入,n个输出,很容易-reproduced : the neural network the most widely used one : BP vbmatlab using neural networks to achieve, it is copyed into
Fisher.利用Fisher分类器对数据进行分类
- 利用Fisher分类器对数据进行分类，并画出决策面（含测试数据）,Fisher classifier using the data classification, and face painted in decision-making (including test data)
ID3_Impl ID3算法实现
- ID3算法实现，自己编写的，可以用标准数据集测试-ID3 algorithm, I have written, you can use the standard set of test data
adult_net
- BP神经网络预测个人的收入信息，其中adult.data为训练数据，adult.test为测试数据-BP neural network to predict the income of personal information, which adult.data data for training, adult.test test data for
classification
- 该程序包实现了几个常用的模式识别分类器算法，包括K近邻分类器KNN、线性判别方程LDF分类器、二次判别方程QDF分类器、RDA规则判别分析分类器、MQDF改进二次判别方程分类器、SVM支持向量机分类器。 主程序中还有接口调用举例，压缩包中还有两个测试数据集文件。-The package to achieve a number of commonly used pattern recognition classifier algorithms, including K neighbor class
empca
- EMPCA算法的函数代码，附带有训练测试数据集，用于特征降维等方面。-Algorithm EMPCA function code, attached to the test data set there is training for the characteristics of dimensionality reduction and so on.
DecisionTree
- 决策树ID3算法,带详细注释,可参考《数据挖掘概念与技术》里P185~P196,以MyEclipse7.0环境下开发的 测试数据在data文件下-Decision Tree ID3 Algorithm with extremely detail comments, refering to the book of Data Minning Concepts and Techniques. Do comprehend the content from Page 185 to Page 196 i
jieceshu
- 有关人工智能，数据挖掘中的决策树算法的实现包括相关的测试数据-On artificial intelligence, data mining, decision tree algorithm in the implementation, including relevant test data
nmf(test)
- 用于入侵检测的系统的ＮＭＦ算法，此部分为用于KDD99数据的测试部分的代码。-Intrusion detection system for NMF algorithm, this part of the test data for KDD99 part of the code.
kddcup.data
- kddcup99数据集，ids测试数据集，很经典的-kddcup99 dataset ids set of test data, it is classic
test
- 数据挖掘中的数据以及测试数据的程序，可正常进行分类，核函数齐全-Data and test data in the data mining program, normally classified, complete kernel function
data
- 随机森林算法的构造过程：1、通过给定的原始数据，选出其中部分数据进行决策树的构造，数据选取是”有放回“的过程，我在这里用的是CART分类回归树。 2、随机森林构造完成之后，给定一组测试数据，使得每个分类器对其结果分类进行评估，最后取评估结果的众数最为最终结果-Random Forest algorithm construction process: 1, by a given raw data, which part of the decision tree data structu