搜索资源列表
BP-classifer
- 一个基于BP神经网络的分类器处理IRIS数据。-A classification based on BP neural network processing IRIS data.
BP_iris
- 进行Iris数据分类实验，使用matlab构建bp神经网络-Iris data classification experiments, using matlab to build the bp neural network
RBF_iris
- 进行Iris数据分类实验，使用matlab构建rbf神经网络-Iris data classification experiments, using matlab to build the rbf neural network
iris-data-raw
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knndemo
- K近邻分类器，实现了对iris数据集的分类，并且使用了交叉验证的方法，来验证求得的最优的K值。-K-nearest neighbor classifier to achieve the classification of iris data set and cross-validation of the method used to verify the optimal value of K obtained.
SVMclassification
- SVM Classification of Iris data set
Parallel-axis
- 平行坐标轴是可视化的一种传统方法，用于模式识别聚类等，数据是‘鸢尾花数据集’，有较好的分类效果。-Parallel to the axis is a traditional way to visualize, used for clustering and pattern recognition, data is the iris data set, have better classification effect.
IRIS-WS-2.0.12.src
- Java API that allows direct access to data and information at the DMC
hua2
- 对150种鸢尾花数据进行分类的matlab代码-150 species of iris data to classify the matlab code
feedforward-network
- example of feedforward network for classification iris data
MSE_Iris
- mse,Iris数据集，最小平方误差判别分类器-mse, Iris data collection, the least square error determination classifier
gradient-descent_Iris
- 鸢尾花数据梯度下降，实现鸢尾花数据的分类，包含批算法和普通算法-Iris Data gradient descent, to classify iris data, including batch algorithm and the general algorithm
Program
- Iris data in C# Program
exp2
- 对Iris数据集应用线性分类器及BP网络分类器进行分类，matlab代码-Iris data set to apply a linear classifier and BP network classifier classification, matlab codes
BPNN_Java
- 神经网络，BP算法，对iris数据进行训练和测试。本程序采用Java语言编写，学习正确率达98 。-iris data analysis,java programming,bp algorithm
BP_IRIS
- BP算法对IRIS数据进行分类，MATLAB代码，带数据文件-BP algorithm,iris data analysis,matlab programming
PCA
- PCA基于Iris数据集，用于统计学习作业。是非常好用且鲁棒的方法。有利于学习统计学习PCA和matlab。-PCA based on Iris data set, used in statistical learning assignments.It is very convenient and robust method.Is advantageous to the study of statistical learning PCA and matlab.
Iris_raecing
- 使用MATLAB编写的神经网络程序 并在著名的机器学习数据集Iris上加以验证 压缩文件中包含代码和数据集！-Using BPNN to classify Iris data set
11
- We return to the iris data of the previous example to illustrate the Rand index, by comparing the k-means results with the true class labels. First we get some of the needed information to construct the matching matrix.
sli_ann_04
- bp网络简单实现，iris数据测试正确率97 -bp network simple implementation, iris data test accuracy of 97