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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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