搜索资源列表
iris.rar
- 数据挖掘经典专用UCI数据集，鸢尾花数据集,data mining dadaset
nearestneighboralgorithm
- 自己写的，模式识别最近邻算法实现，配有IRIS数据集，非常实用-Their own writing, pattern recognition, nearest neighbor algorithm, with IRIS data set, very useful
Bayes-Iris
- 根据贝叶斯原理设计的一个简单的分类器，利用已知样本数据训练后，分类器就可以对未知样本进行分类。（实验时采用的是Iris数据集。）-According to the design of a simple Bayesian classifier, using the known training sample data, the classifier can classify the unknown samples. (Experiments using the Iris data set.)
kmeans
- 基于mailab iris数据集的kmeans聚类，适于matlab及聚类分析的入门学习-failed to translate
FCM
- 基于matlab iris数据集的FCM（模糊C）聚类，适于matlab和聚类分析的入门学习。-failed to translate
IRIS-use-RFclassification
- 用随机森林RF方法分类IRIS数据集，用一百个数据做训练集，五十个作为测试集，并统计出错误率，可直接运行-Classification method with random forests RF IRIS data set, using one hundred data to do training set, and fifty as a test set, and the statistical error rate, can be directly run
MSE_Iris
- mse,Iris数据集，最小平方误差判别分类器-mse, Iris data collection, the least square error determination classifier
k-means-iris
- 运用k-means算法对IRIS数据集进行聚类分析-K-means algorithm is appliled to do cluster analysis for IRIS dataset.
classification
- Iris数据的最近邻分类与k近邻分类程序，以及5路交叉验证，适合于新手学习，附有数据集-And nearest neighbor classification k-nearest neighbor classification procedure Iris data, as well as 5-way cross-validation, suitable for novices to learn, with data collection
exp_2_1
- Iris数据集，计算协方差矩阵和相关系数矩阵和kl变换(The goal of this programming experiment is to: Calculate the covariance matrix and the correlation coefficient matrix of the Iris data set. Perform the Karhunen-Loeve transform on this data set.)
LDA
- 使用fisher线性判别函数对iris与sonar数据集进行分类(Using Fisher linear discriminant function to classify iris and sonar datasets)