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[matlabiriscloud

Description: 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
Platform: | Size: 3072 | Author: 王力 | Hits:

[OtherPerceptionApproach

Description: 模式识别的经典算法之一,感知器算法,用来对模式进行分类,采用matlab编写。-the classic pattern recognition algorithm, perception algorithm, the model used for classification, prepared using Matlab.
Platform: | Size: 1024 | Author: 也风 | Hits:

[Graph Recognizemoshishibie12345

Description: 模式识别,isodata 算法,对iris数据进行分类-pattern recognition, isodata algorithm, the iris data classification
Platform: | Size: 30720 | Author: frank | Hits:

[matlabbp_matlab_pattern

Description: 是我的模式识别的作业,可以成功的分类iris数据,大家可以-is my pattern recognition operations, the classification can be successful iris data, we will look at
Platform: | Size: 1024 | Author: kenty | Hits:

[AI-NN-PRIrisFisher

Description: 利用经典的iris数据进行核fisher分类-The use of classic iris data classification nuclear fisher
Platform: | Size: 1024 | Author: 华仔 | Hits:

[OtheririsSOM

Description: 用matlab中som实现的iris分类,包括分类的精确度-Using matlab in som realize the iris classification, including classification accuracy
Platform: | Size: 1024 | Author: wz | Hits:

[AlgorithmIris

Description: 贝叶斯分类程序,iris数据集,很有用,已测试-Bayesian classification procedures, iris data set, very useful, have been tested
Platform: | Size: 552960 | Author: ding | Hits:

[AI-NN-PRIris

Description: 模式识别,对iris数据进行分类,svm算法-Pattern recognition, classification of iris data, svm algorithm
Platform: | Size: 3072 | Author: 刘期烈 | Hits:

[AI-NN-PRIRIS

Description: 基于BP神经网络,根据鸢尾花多组数据先训练网络再对样本进行测试,给出分类结果-Based on BP neural network, in accordance with multiple sets of data iris network before training again for testing classification results are given
Platform: | Size: 4096 | Author: wawa | Hits:

[matlabcskmean

Description: 用matlab实现iris数据分类,适合初学者的一个很有用的算法-Using matlab to achieve iris data classification, suitable for beginners of a useful algorithm
Platform: | Size: 1649664 | Author: 晓晓 | Hits:

[matlabClassifierforIRISdata

Description: 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 classifiers, pattern recognition part of the operating code.
Platform: | Size: 36864 | Author: 王兵 | Hits:

[matlabclassification

Description: 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).
Platform: | Size: 13312 | Author: yuchang | Hits:

[AI-NN-PRBP-Iris-classifier

Description: 使用BP网络实现了对Iris数据的分类,使用了可变学习速率和带动量的梯度下降算法。-Using the BP network realizes the classification of Iris data, the use of the variable learning rate and the amount of gradient descent algorithm driven.
Platform: | Size: 2048 | Author: chenlei | Hits:

[matlabBayesian-classification

Description: matlab语言编写的实现iris数据的最小错误贝叶斯分类-Iris data to achieve the minimum error Bayesian classification
Platform: | Size: 2048 | Author: gaohainan | Hits:

[Graph Recognizeiris

Description: iris数据分类,bp神经网络实现,适当调整训练次数和训练精度,分类准确率可达99 以上-iris data classification, bp neural network, training times and training appropriate adjustments to the accuracy, classification accuracy rate of 99 or more
Platform: | Size: 8192 | Author: 何晓丽 | Hits:

[AI-NN-PRiris

Description: 数据挖掘经典数据,鸢尾花分类,txt形式矩阵,直接使用非常方便。-Classical data mining data, iris classification, the form of TXT matrix directly, very convenient to use.
Platform: | Size: 1024 | Author: ss | Hits:

[Otheriris

Description: 鸢尾花的分类算法,主要输采用R软件进行编码-Iris classification algorithm, the main output is encoded using the R software
Platform: | Size: 7168 | Author: 江山 | Hits:

[matlabiris-classification-matlab-master

Description: 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 network we will use for the classification. We continue by testing the network in real life conditions. We conclude with a review of the methods used, and how they could be improved.
Platform: | Size: 955392 | Author: ryma | Hits:

[matlabiris

Description: 使用iris鸢尾花数据集测试rbf神经网络的分类效果(Using iris iris dataset to test the classification effect of RBF neural network)
Platform: | Size: 1024 | Author: 夏日回忆 | Hits:

[Otheriris

Description: 取Iris-setosa前40组数据的前两列和Iris-versicolor的前40组数据的前两列作为训练样本。即训练样本共有两类,每类40组数据,每组数据由两个属性值。进行分类训练(Take the first two columns of the first 40 sets of data and the first two sets of the first 40 groups of Iris-setosa as the training samples of the first 40 sets of data. There are two classes of training samples, each group has 40 sets of data, and each group of data has two attribute values. Carry out classification training)
Platform: | Size: 1024 | Author: zh244854874 | Hits:
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