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Description: 模式识别感知器算法实现(样本分类),基于iris数据-Pattern recognition algorithm perceptron (sample classification), based on the iris data
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Size: 1024 |
Author: wg |
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Description: Perceptron example with Iris Flower
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Size: 2048 |
Author: YuiYui |
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Description: matlab语言编写的iris数据的单层感知器分类-matlab data written in a single layer perceptron iris classification
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Size: 1024 |
Author: gaohainan |
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Description: 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.
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Size: 6144 |
Author: kangyan |
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Description: matlab编写的感知器算法,实验数据为Iris,运行良好!-Matlab prepared perception algorithm, the experimental data for the Iris, a good run!
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Size: 7168 |
Author: heart |
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Description: 基于感知器算法的线性分类实例,对鸢尾花Iris数据进行两两分类-Linear classification based on perceptron algorithm to the data of Iris
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Size: 2048 |
Author: raimose |
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Description: Perceptron para Matlab, reconhecimento da flor de IRIS e vinhos.
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Size: 617472 |
Author: Luis Maschi |
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Description: 自己编写的用感知器算法分类UCI数据集中的iris数据集-UCI classification by perception algorithm dataset iris data set
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Size: 2048 |
Author: 乔伊 |
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Description: 通过感知器算法分类鸢尾花(三类分类),由于感知器算法是二类分类器,所以三类分类需要两两对比。-Classification of iris by perceptron algorithm (three classifications)Since the perceptron algorithm is a class 2 classifier, three classifications require a pairwise comparison.
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Size: 2048 |
Author: 黄瑾 |
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Description: 基于matlab的Iris、乳腺癌数据集的模式识别分类算法,含有 遗传算法+SVM、isodata、感知器算法、LMSE、神经网络等算法的实现代码,用于聚类效果良好,是模式识别大作业的参考资料(The pattern recognition classification algorithm based on MATLAB for Iris and breast cancer data sets contains the implementation code of genetic algorithm +SVM, ISODATA, perceptron algorithm, LMSE, neural network and so on. It is used for good clustering results and is a reference for pattern recognition.)
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Size: 6144 |
Author: 张小明12345 |
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Description: 使用四种方法进行鸢尾花分类:最小距离分类器,K 近邻法,感知器,Fisher 准则。(Four methods are used to classify iris: minimum distance classifier, K-nearest neighbor method, perceptron and Fisher criterion.)
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Size: 566272 |
Author: yty1018 |
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