搜索资源列表
IRISFileRenameRearrangeMMUdatabase
- The Iris data base picture arrangement from the MMU database
txt_to_shuzu
- 用C语言读取Iris数据集，并以二位数组的形式输出，并附有Iris的数据集。程序清晰易懂，运行成功。-Using C language to read Iris data set, and two-digit group in the form of output, together with the Iris data set. Procedures clear and understandable, running successfully.
bp
- 鸢尾花数据分类 采用bp（神经网络前向反馈）算法 -The iris data classification using the algorithm of bp （neural network forward feedback)
AP-Cluster
- AP聚类算法的C++代码实现，其中数据是文本读入iris数据，P值选取欧式矩阵最小值。显示结果为聚类后结果-AP clustering algorithm C++ code, in which data is read into the text iris data, P values selected European matrix minimum. Showing results clustering results after
H2_1sin
- it s backpropagation neural network for iris data set
hierarchical
- 对于随机数据和Iris数据的层次聚类算法-For random data and Iris data hierarchical clustering algorithm
iris
- iris标准数据，用于数据聚类方法测试-iris standard data
iris-k-nn
- Iris 是一种鸢尾属植物。在数据记录中，每组数据包含Iris花的四种属性：萼片长度，萼片宽度，花瓣长度，和花瓣宽度，三种不同的花各有50组数据. 这样总共有150组数据或模式。这里用K近邻法进行分类。-Iris is a genus Iris. In the data recording, the data containing each of the four attributes Iris Flower: sepals length, sepal width, petal length,
iris-jinlin
- Iris 是一种鸢尾属植物。在数据记录中，每组数据包含Iris花的四种属性：萼片长度，萼片宽度，花瓣长度，和花瓣宽度，三种不同的花各有50组数据. 这样总共有150组数据或模式。近邻法。-Iris is a genus Iris. In the data recording, the data containing each of the four attributes Iris Flower: sepals length, sepal width, petal length, width an
distance_based_all
- The matlab program classifies the species of fisher iris data based on distance based approaches (euclidean, mahalanobis, etc.)
k-means-for-iris
- 利用K均值聚类对鸢尾花样本进行聚类的matlab程序，包含源代码、样本数据、聚类结果-The use of K-means clustering method to classify iris sample matlab program, the program includes source code, sample data, the classification results
matlab
- 用窗函数实现Iris数据密度估计，使用的函数有正太分布函数，指数函数和均匀分布函数-Window function to achieve Iris data density estimation, there is too function uses the distribution functions, exponential functions and uniform distribution function
k-means-bayes-algorithm
- k-means和贝叶斯算法对iris数据进行测试-k-means algorithm and Bayesian test for iris data
isodatacenter
- 神经网络RBF Isodata算法计算得到iris数据集的聚类中心，从而进行分类。并包含iris数据集-RBF Isodata neural network algorithm to get the cluster center iris data set, thus classified. And contains iris data set
PatternRecognition
- (1)Bayes分类 已知N=9， =3，n=2，C=3,问x= 应属于哪一类？ (2)聚类 使用c－均值聚类算法在IRIS数据上进行聚类分析 (3)鉴别分析 在ORL或Yale标准人脸数据库上完成模式识别任务。 用PCA与基于核的PCA（KPCA）方法完成人脸图像的重构与识别试验。-(1) Bayes classification Known N = 9, = 3, n = 2, C = 3, x = should ask which cat
KNN
- KNN数据挖掘经典算法，采用的是iris.data数据，数据在文件包里了，需要改一下路径就可以了。-KNN classical data mining algorithms, using iris.data data, the data in the paper bag, the need to change the path on it.
irisdata
- iris数据集，matlab可以直接导入-iris data set, matlab can be directly imported
iris-classification-matlab-master
- In this report, we devise a methodology for identifying the species of an iris amongst 3 based on 4 distinctive features. We first cover the constitution of the data set and input patterns. We then determine the layout and structure of the neural net
Matlab
- 将Iris数据集分为2组，每组各75个样本，每组中每种花各有25个样本。其中一组作为以上程序的训练样本，另外一组作为检验样本。为了方便训练，将3类花分别编号为1，2，3 。 使用这些数据训练一个4输入（分别对应4个特征），3输出（分别对应该样本属于某一品种的可能性大小）的前向网络。-The Iris data set is divided into two groups each of 75 samples in each group have 25 samples in each fl
PCA_Gaus_Iris
- Compression by PCA of Gaussian and Iris data