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: 尽管matlab提供了朴素bayes的函数,但要理解朴素bayes还是自己编程实现为好。这是以IRIS数据集为例,用朴素bayes方法分类的程序。-Although matlab Bayes provides a simple function, but to understand the simple Bayes or programming for their own good. This is the IRIS data set as an example, naive Bayes method with a classification procedure. Platform: |
Size: 3072 |
Author:幻影 |
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Description: 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 Platform: |
Size: 164864 |
Author:LikeTheBird |
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Description: 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 use graphs to classify the data Platform: |
Size: 28672 |
Author:madurangak |
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Description: 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 Platform: |
Size: 5562368 |
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: 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 Platform: |
Size: 3072 |
Author:熊星星 |
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Description: 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. Platform: |
Size: 3072 |
Author:xiaocai |
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Description: 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
Platform: |
Size: 3072 |
Author:yupan |
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Description: 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 Platform: |
Size: 66560 |
Author:刘文 |
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Description: 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 reduction, and then with the minimum error method to classify the data dimension reduction. Both compressed package matlab source code, but also write their own reports, as well. MAT format, the program calls for IRIS data set. Procedures detailed notes, it is easy to understand. Finally, the output to a txt file.
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Size: 94208 |
Author:yumingwei |
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Description: 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. Platform: |
Size: 3072 |
Author:陈德志 |
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Description: 将Iris数据集分为2组,每组各75个样本,每组中每种花各有25个样本。其中一组作为以上程序的训练样本,另外一组作为检验样本。为了方便训练,将3类花分别编号为1,2,3 。
使用这些数据训练一个4输入(分别对应4个特征),3输出(分别对应该样本属于某一品种的可能性大小)的前向网络。-The Iris data set is divided into two groups each of 75 samples in each group have 25 samples in each flower. One set of sample programs as more training, another group as the test samples. To facilitate training, the three types of flowers were numbered 1,2,3. Training before using these data a 4-input (respectively 4 features), 3 outputs (respectively the possibility should belong to a variety of sample size) to the network. Platform: |
Size: 3072 |
Author:东洋 |
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Description: 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.) Platform: |
Size: 2048 |
Author:王婉宁
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Description: 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.) Platform: |
Size: 74752 |
Author:szjoin |
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