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: 基于matlab的K均值聚类程序。其中用IRIS数据进行验证，得到了很好的结果。文件中包含了演示后的结果图-Matlab-based K-means clustering procedure. Which use IRIS data verification, have had good results. File contains the results of the demonstration plan Platform: |
Size: 32768 |
Author:wanghuali |
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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: 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: 使用bp神经网络进行分类。包括鸢尾花数据，以及训练过程和分类结果。包含非常详细的注释。-Use of bp neural network classification. Including the iris data, and training process and classification results. Contains very detailed notes. Platform: |
Size: 1024 |
Author:songmin |
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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
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Size: 3072 |
Author:yupan |
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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: 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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