搜索资源列表
AGAandLAGA
- 两种改进的遗传算法(自适应交叉概率的遗传算法,加入领域竞争策略的遗传算法)相比较的matlab程序,基于UCI的两个数据集,可直接运行程序观察效果。-both improved genetic algorithm (adaptive crossover probability of genetic algorithm, to field a competitive strategy of genetic algorithm) compared to the Matlab procedures,
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。
adult
- 著名的数据挖掘测试数据集,由UCI维护提供. adult.data 含15个属性,32561个样本.
遗传聚类
- 使用遗传算法优化Kmeans聚类过程,测试数据集都来源于UCI,很好理解,适合初学者。
k-means-iris
- 针对著名的UCI机器学习数据库中的iris data的kmeans聚类分析程序,具有代表性-For the well-known UCI machine learning repository of the iris data of kmeans cluster analysis procedure, a representative
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
wine
- pca-kmeans聚类 先将数据(wine,uci数据集)降维处理,在进行聚类-pca-kmeans clustering use the data of uci:wine.
popular-UCI-datasets
- 一些非常有用的数据集,适合我们从事机器学习的人使用,matlab下的mat格式和excel格式,包括注明的iris,糖尿病等数据集-some useful datasers for machine learning learners,such as diabeters,iris and so on
NB_breast_cancer_wisconsin_original
- 基于朴素贝叶斯的分类练习,在UCI数据库中的breast数据集上进行的测试-Bayesian classification based on practice, in the UCI database data set on breast test
LVQandSOM
- perform SOM and LVQ on 2 UCI dataset and compare thier classification accuracy.
KNN4hypothroid
- this source code claculate KNN for hypothroid uci dataset
PSO
- PSO算法,粒子群算法,其中包括5个UCI数据集,还包括数据处理部分,-PSO algorithm, particle swarm optimization, including five UCI data sets, including data processing section,
UCI-dataset
- uci数据集 第一列为类标,其他列为特征-This is UCI dataset.The first column is label.The other columns are features.
UCI
- 利用k-means对UCI数据集进行聚类分析,程序中列举了数据集wine和heart数据集-Using the k- means cluster analysis was carried out on the UCI dataset, listed in the program data collection of wine and heart of data sets
UCI-data
- UCI数据发酵数据,可以用于分类和其它方法,数据完整-UCI data fermentation data, and other methods can be used for classification, data integrity
UCI
- 机器学习常用的35个UCI数据集,包括iris、lenses、mushroom、pima indians、wine等。-Machine learning UCI common data set 35, including iris, lenses, mushroom, pima indians, wine and the like.
UCI
- 里面含有连续型数据集,离散型数据集以及混合型数据集可以用于属性约简,特征选择等算法的实验仿真。以及直接导入weka软件。(It contains continuous data sets, discrete data sets and mixed data sets, and can be used for the experimental simulation of attribute reduction and feature selection algorithms. And import
数据集
- 本文件为常见聚类算法测试数据集 ,UCI上常用的聚类算法数据集(This document is a common clustering algorithm test data set.)
UCI
- 用于神经网络训练的UCI数据集,mat格式(UCI training dataset for ANN training with mat form)