搜索资源列表
LR
- 机器学习中的关于逻辑回归（LR）方法的分类器，Matlab源码，附带四个数据集用于实验-Machine Learning on the logistic regression (LR) method of classification, Matlab source code, with four data sets for experiments
Bayes_example
- Bayes分类器应用于IRIS数据集的例子-An example of Bayes Classifier applied on IRIS Data Set
Adaboost_train
- ADBOOST的训练代码，有供训练的数据，弱分类器训练，强分类器训练，和错误率，对理解ADABOOST是很好的例程-codes of adaboost traning,containing data for traning, implementation of weakleaner and cascad,and error as well,it can help us leaning ADABOOST
Fisher
- 用MATLAB做的Fisher线性分类器，处理脑电信号，数据为bci竞赛数据-MATLAB to do with Fisher linear classifier, EEG signal processing, data race data for the bci
svm
- SVM神经网络的数据分类预测在葡萄酒种类识别中的应用-SVM classification neural network prediction of data types in the identification of wine
DM4
- 执行流程： 1. 用户输入参数：K的选择，训练数据，测试数据的路径； 2. 读取训练数据集和测试数据集文件，用ArffFileReader类读取并组织起InstanceSet数据结构； 3. 利用上面的相似度量标准，对每一个测试集中的Instance，计算与其最相似的K个训练集中的Instance，通过投票进行分类，将分类结果存储经Instance的成员变量targetGuess中； 4. 对分类结果进行度量，包括分类正确率，各种类别实例的Precision，Recall；Con
naivebayes
- 模式识别中朴素贝叶斯分类器,实习数据的良好分类技术-naive bayesian classification
mat
- 用于人工智能分类算法仿真的数据集 UCI数据集 已经过集成-Simulation of artificial intelligence classification algorithm for data sets UCI data sets have been integrated
SLLE
- 引入数据类别信息的有监督局部线性嵌入算法，可用于数据分类-Supervised Locally Linear Embedding
VIPS
- 用C++实现对普通网页文件的内容收取，以及按标签分类，为是VIPS算法做数据预处理，并以颜色和字体大小为属性-C++, to achieve the contents of ordinary web document collection, and by label classification, as is the VIPS algorithm to do data preprocessing, and to color and font size for the properties
svmwine
- SVM神经网络的数据分类预测(意大利葡萄酒种类识别)-SVM neural network prediction of data classification ( Italy wine kind recognition )
SVM
- SVM分类的matlab源码实现。并提供一组数据进行仿真。-SVM classification matlab realization.
rose2_setup_01
- Rose2里含有好多粗糙集的算法，可以实现数据预处理约简，求关联规则，求聚类和分类，非常实用。-Rose2 contains a lot of rough set algorithm, can achieve reduction of data preprocessing, find association rules, clustering and classification requirements, very practical.
1
- 用于实现蝴蝶与蛾的图像分类，主要根据其触角及体长等特征提取图像数据进行处理，得出结果。-Butterflies and moths used to achieve image classification, mainly based on its long tentacles and body feature extraction image data processing, the result.
sicktoolbox
- 提供激光雷达点云数据的读取，滤波及分类功能-LIDAR point cloud data available to read, filter and sorting functions
judger
- 最小错误率和最小风险贝叶斯分类器，附带示例数据-Minimum error rate and minimum risk Bayes classifier, with sample data
id3
- 可以运行的c++ID3算法，数据挖掘分类算法中的ID3算法C语言代码实现。已经调试。 -Can run c++ ID3 algorithm, data mining classification algorithm ID3 algorithm for C language code to achieve. Have been debugging.
classification
- 多种实现三组数据集（iris测试数据）分类的算法实现（LMS、MSE、HK等。-several methods(LMS,MSE,HK) to achieve classification of three data set（iris data set).
Image
- 遥感图像的打开处理程序，能够打开单波段，多波段图像，几何图像变换，线性拉伸变换，平滑 处理包括并行和串行，锐化处理包括梯度锐化、Roberts锐化、laplace锐化、sobel锐化等，还 有用绝对距离和马氏距离算法进行的监督分类算法等，包括了RAW格式数据资源-The opening of remote sensing image processing, to open the single-band, multi-band images, geometric image
winedata-bayers
- 对著名的UCI机器学习库的wine数据集做的朴素贝叶斯分类算法，包含详细源代码和实验报告，不可多得啊-Pairs of well-known UCI machine learning repository data set to do wine Naive Bayesian classification algorithm, with detailed source code and test reports, a rare ah