搜索资源列表
IRIS数据
- IRIS数据 用于聚类方法 主要用于模式识别、图像分割等-IRIS data for clustering method used pattern recognition, image segmentation, etc.
基于matlab的K均值聚类程序
- 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
iris.rar
- 数据挖掘经典专用UCI数据集,鸢尾花数据集,data mining dadaset
iris
- 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
bp_flower
- bp神经网络对鸢尾属植物分类,用四个特征进行分类,分类正确率100 - iris data classification using bp neural network
Fisher_example
- 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
knn
- 使用C语言编写的最近邻算法,可以直接运行,算法是对鸢尾花数据进行了分类。-Written in C language using the nearest neighbor algorithm can be run directly, the algorithm is the iris data are classified.
classification
- 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).
ANN_Classifier
- 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
Ckmedoids
- K-mean算法,并通过了IRIS数据的测试。-K-mean algorithm, and through the IRIS data testing.
moshishibie
- 先用C-均值聚类算法程序,并用下列数据进行聚类分析。在确认编程正确后,采用蔡云龙书的附录B中表1的Iris数据进行聚类。然后使用近邻法的快速算法找出待分样本X(设X样本的4个分量x1=x2=x3=x4=6;子集数l=3)的最近邻节点和3-近邻节点及X与它们之间的距离。-First C-means clustering algorithm procedures and with the following data for cluster analysis. After confirming t
Cluster
- 使用分解聚类算法在IRIS数据上进行聚类分析,IRIS数据是由鸢尾属植物的三种单独的花的测量结果所组成,模式类别数为3,特征维数是4,每类各有50个模式样本,总共有150个样本。-The use of decomposition in the IRIS data clustering algorithm on the cluster analysis, IRIS data are from the iris flower three separate components of the meas
C-means
- 使用c-均值聚类算法在IRIS数据上进行聚类分析,随机选择三个初始聚类中心,经过多次迭代,最终将150个样本分为三类。-Use c-means clustering algorithm in the IRIS data on the cluster analysis, three randomly chosen initial cluster centers, through a series of iterative, 150 samples will eventually fall into
iris
- Iris主要应用于Ethernet网,这是由Ethernet网的共享特征所决定的。在Ethernet网内,承载数据包的通道为本Ethernet网段的所有计算机所共享,而决定一台计算机是否收取一个数据,在于这个数据包是不是发往这台计算机的。每台计算机的网络适配器,也就是网卡都有自己独特的网卡地址。如果网卡发现一个数据包是发往本网卡地址的,它就会接收它,否则就丢弃它。-Iris is mainly used in Ethernet networks, which is shared by the
cskmean
- 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
Fuzzy-Classifier-for-Iris-Data
- A Fuzzy Classifier for Iris Data that will train with samples data and classify input data based on it s trainings-A Fuzzy Classifier for Iris Data that will train with samples data and classify input data based on it s trainings...
Iris-data
- 鸢尾花数据,包含三组数据,用于模式识别的基本实验练习-Iris data for pattern recognition of basic laboratory exercises
iris
- 著名的统计学家R.A.Fisher在20世纪30年代中期提出来的鸢尾花数据集(The famous statistician R.A.Fisher introduced the iris data set in the mid 1930s)
iris
- 使用seaborn绘制iris图,初步了解seaborn库的使用(painting iris data to know how to use seaborn)
iris
- iris数据集的XLS文件,方便matlab使用(The iris data set of XLS files, easy to use)