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基于matlab的K均值聚类程序
- 基于matlab的K均值聚类程序。其中用IRIS数据进行验证，得到了很好的结果。文件中包含了演示后的结果图,Matlab-based K-means clustering procedure. Which use IRIS data verification, have had good results. File contains the results of the demonstration plan
RBF_example_IRIS
- RBF神经网络应用于IRIS数据集的例子-Am example of RBF-NN applied on IRIS Data Set
somlvq
- This project compares the performance of SOM versus LVQ in classification problems. Given two data sets: ‘iris.dat’ has 150 patterns of 3 classes with 4 features. ‘wine.dat’ has 178 patterns of 3 classes with 13 features. For SOM, use its alg
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
Fisher_example
- Fisher线性判别分类器应用于IRIS数据集的例子-An example of Fisher linear discriminant Classifier applied on IRIS Data Set
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).
ANN_Classifier
- matlab应用实例：基于神经网络的分类，用的是iris数据集做例子-matlab applications: classification based on neural network, using the iris data set an example
SVM-iris
- 本人用matlab编写的支持向量机的程序，在数据集iris上进行实验，识别效果不错-I have written in with support vector machine matlab program, in experiments on the iris data set, identify good results
Cluster
- 使用分解聚类算法在IRIS数据上进行聚类分析，IRIS数据是由鸢尾属植物的三种单独的花的测量结果所组成，模式类别数为3，特征维数是4，每类各有50个模式样本，总共有150个样本。-The use of decomposition in the IRIS data clustering algorithm on the cluster analysis, IRIS data are from the iris flower three separate components of the meas
2005S9568
- feature selection from iris data set it will use statistical methods and get the best set of features then use graphs to classify the data-feature selection from iris data set it will use statistical methods and get the best set of features then us
bp
- 利用bp算法对鸢尾花数据进行分类的matlab实现程序-Bp algorithm using iris data classification procedures to achieve matlab
ClassifierforIRISdata
- 用于对IRIS数据进行分类的各种分类器，用于对多维采样点进行无监督分类。可根据类别数修改分类器，模式识别作业的部分代码。-IRIS data for the various classification categories, for sampling points on the multi-dimensional non-supervised classification. Can be modified in accordance with several types of classifi
nueral
- neurak network classification for iris data
shenjing
- 使用bp神经网络进行分类。包括鸢尾花数据，以及训练过程和分类结果。包含非常详细的注释。-Use of bp neural network classification. Including the iris data, and training process and classification results. Contains very detailed notes.
Iris
- iris标准数据集 模式识别； matlab环境-iris data
iris
- iris数据集 data形式.可用于matlab-iris data
iso data
- ISODATA聚类算法，内附详细注解，使用了Iris数据集。ISODATA是一种常用的聚类算法之一。-ISODATA clustering algorithm, containing detailed notes, using the Iris data set. ISODATA clustering algorithm is a common one.
iris
- iris数据集的XLS文件，方便matlab使用(The iris data set of XLS files, easy to use)
BP Matlab实现
- 采用Iris数据集在matlab上实现简单的数据训练和分类(Using Iris data set in matlab to achieve a simple data training and classification.)
iris
- 使用鸢尾花数据集，通过神经网络算法对鸢尾花类型进行预测(Using iris data set, the iris type was predicted by neural network algorithm.)