搜索资源列表
LogisticRegression
- 关于Logistic回归统计算法的matlab实现,内容包括建模、输出变量预测和预测误差分析。数据来自UCI数据库中的Ionosphere database,有351个统计实例,输出变量是二分类变量,代表电波从电离层反射的好坏情况,共有32个特征值。(压缩包中包含已经处理好的数据)-on Logistic regression algorithm to achieve the Matlab, including modeling, variable output forecast and pre
BPclassification
- BP学习算法应用——模式分类 应用动量BP学习算法对UCI提供的经典数据库——鸢尾属植物数据库进行分类,速度快,精度高。iris.arff为数据库文件,可用Weka数据挖掘软件打开。Iris.csv为源代码读取的数据文件,通过Weka软件转换得到。 将源文件Iris_classify.m和Iris.csv文件放入matlab的work文件夹中直接运行即可。
tif
- k-means算法代码 matlab的程序,具体使用说明在函数里面 :) 附UCI的测试集图片,可以用作VQ的实验-k-means algorithm matlab code of procedure, specific for use inside the function:)
uci2svm
- 将UCI数据转为为libSVM数据格式的matlab代码。包含数据集。-The UCI data into for libSVM data format of matlab code. Contains data set.
pvm_code
- PVM is a fast supvervised leanring algorithm who combine dimensioin reduction and neural network training. I have prepared the code (including six algorithms KPVM, EL M/SVD, BP/SVD and BPVM, and one dataset "Face") and put them in one zip file "pvm
SpokenArabicDigit
- this matlab code reads the data text files UCI Spoken Arabic Digits and save the results in a mat file which user can easily use.
wine
- UCI红酒分类,matlab码源,已调试-Liquor classification pattern recognition
ELM
- MATLAB实现ELM算法,并附带UCI经典数据。-MATLAB realization ELM algorithm, along with the classic UCI data.
UCImat
- UCI数据集可以进行数据分类,数据格式为matlab可以直接使用的.mat格式-UCI data sets for data classification, data format for the matlab can be used directly. Mat format
DataSet
- 几种UCI数据集,整理为excel格式,可以直接导入matlab中使用。-Several UCI datasets, finishing as excel format that can be used directly into matlab.
liqiang-bp
- 利用bp神经网络对UCI数据库进行训练,分析数据的特性,希望能对需要初级学习matlab的人们有所帮助 -Bp using neural network trained on UCI database, the characteristics of the analysis of data, hoping to junior matlab help people learn
Elm_KElm
- Elm和KernelElm算法matlab实现,带有详细注释,并且提供了UCI数据集多个数据库供测试-Elm and Kelm algorithm, with detailed notes, and provides multiple UCI data set for testing
proj1_knn
- MATLAB实现的KNN 压缩文件包含m文件和wine.txt(机器学习著名的红酒数据集,下载自UCI大学机器学习数据集: http://archive.ics.uci.edu/ml/datasets/Wine) -knn wrote in MATLAB
BYS
- 该文件为Matlab上实现的贝叶斯分类算法,包含源码(含注释)、数据和运行结果。实例数据为UCI上下载的Iris数据包。-Bayesian classification algorithm developed in the Matlab,which contains the source code (including comments) and data(Iris Loaded the UCI), and operating results.
Sphere-Cover-Classifier-master
- 用matlab编程实现随机球覆盖集成分类器算法,首先在UCI数据集上得到很好的结果,然后在6个基因表达数据集通过一个案例说明。-Implement random ball cover integrated classifier algorithm using matlab programming, first get good results on UCI data set, and then in six gene expression data sets through a case des
Abalone
- UCI数据集中的Abalone数据集,可以直接在MATLAB中使用。-UCI dataset Abalone data set can be used directly in MATLAB.
Read_LibSVM_files_in_R
- Read LibSVM files using R. LibSVM is a MATLAB based library of UCI repository Data Sets. You can convert the data sets to R using this code
NBC(1)
- 利用朴素贝叶斯对UCI 的 mushroom 数据集进行分类,使用MATLAB编码(Using naive Bias, the mushroom data sets of UCI are classified and encoded using MATLAB)
Matlab_SVM
- SVM算法实现+数据 (要用到一些包,按照代码里面的import到网站下就行) 1.读取数据:在Matlab中调用textread可读取UCI数据集,这里读取的文件是iris.data,因为文件中以逗号为分隔符,所以还要在读取方法中添加参数“‘delimiter’,‘,’”,从而在读数据的时候自动跳过分隔符。 2.调用cvx工具箱中的方法:首先需要下载cvx工具箱的压缩文件,在其目录下运行cvx_setup指令,然后调用其方法,以cvx_begin开头,cvx_end为终止符号,所有需