搜索资源列表
iriscloud
- 云分类器，一种基于云模型理论的分类程序。程序中使用云分类器对Iris数据集进行了测试-cloud classifier, a theoretical model based on cloud classification procedure. Procedures used for cloud classification of Iris data set for testing
naivebayes.rar
- 这是以Iris数据集为例，用朴素bayes方法分类的程序.matlab编程,This is the Iris data set as an example, using the simple bayes methods of classification procedure. Matlab programming
Backpropagation
- 模式识别课程作业-神经网络分类IRIS数据集.共两层网络，程序有详细注释。程序结果将输出到EXCEL文件中，也很详细。-Course work in pattern recognition- Neural Network Classification IRIS data set. A total of two networks, a detailed program notes. Program results will be output to the EXCEL file, and very
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
pca_demonstration
- This a demonstration of how one can use PCA to classify a 2D data set-This is a demonstration of how one can use PCA to classify a 2D data set
IrisClassification
- Iris数据集的分类程序，包括线性分类器实验，BP网络分类器实验，以及异或数据的BP网络分类实验，外带试验报告-Iris data set of classification procedures, including linear classification experiment, BP network classifier experiments, and different BP networks or data classification experiment, take-test
IrisBayes
- iris数据集的贝叶斯分类实验，外带实验报告一分-Bayesian classification of iris data set experiment, experimental report of a sub-outer
ISODATA_IRIS
- ISODATA法分类IRIS数据集，压缩包中包括两个.m文件，运行provaisodata_4D.m可直接分类。或者通过isodata_4D.m设置参数也可以得到结果。程序有详细注释，很容易懂。最后结果既有文字描述，也有图形输出。-ISODATA classification method IRIS data set, compressed package includes two. M files, run provaisodata_4D.m direct classification. Or
PCA
- 模式识别作业-完全自编仿真程序。先用PCA对IRIS数据集进行降维，然后用最小错误法对降维的数据进行分类。压缩包中既包括matlab源代码，又有自己写的报告，还有.MAT格式的IRIS数据集用作程序调用。程序有详细注释，很容易懂。最后结果输出到txt文件中。-Pattern recognition operations- completely self simulation program. First on the IRIS data set with PCA dimension reduct
SMOSVM
- 用于svc分类， 用SMO实现SVC，并在UCI数据集Iris上进行实验,2. 可借鉴现成SVM软件包，实现回归分析。 -For svc classification, using SMO to achieve SVC, and in the UCI Iris data set on the experiment, 2. SVM can learn ready-made packages, to achieve regression analysis.
iris
- 可以将数据集按行任意调换顺序，给出了IRIS数据集及例子。-It can do any exchange data set in order, and give the IRIS data set and examples.
N-NSA
- 采用经典的阴性选择算法N-NSA，用IRIS数据集对算法进行耐受和检测，检测器半径固定不变，检测效率不高，因此需要采用变半径的方法检测-The negative selection algorithm using the classical N-NSA, with the IRIS data set of algorithms for tolerance and detection, the detector radius is fixed, detection efficiency is no
PCA1
- 基于PCA的iris数据集分类，matlab实现，大家共同学习。-Iris data set the PCA-based classification, the Matlab implementation, we learn together.
LDAiris
- 基于LDA的iris数据集分类算法，matlab实现，有注释。-LDA-based classification algorithm of the iris data set, the Matlab implementation, and comment.
ganzhiqi_g7
- 基于感知器的iris数据集分类算法，matlab实现，有注释。-Classification algorithm based on the iris data set of the perceptron, the Matlab implementation, and comment.
IOS
- 基于IOS自组织分析法的iris数据集分类，matlab实现，含注释。-The iris data set classification based IOS self-organization analysis, Matlab implementation, including annotations.
S_SVM
- 在matlab平台上使用SVM对iris数据集进行分类(use SVM Classification of Iris data set in matlab)
k-means算法的Matlab实现以及Iris数据集
- k-means算法实现以及Iris数据集(Implementation of K-means algorithm and Iris data set)