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sw
- 运用一种新的算法对鸢尾花进行分类，其中分类的方法使用的三角模糊数和证据理论相结合。-Using a new algorithm for iris classification, the classification method of using the triangular fuzzy number and combination of evidence theory.
3-2
- Fisher判别实现鸢尾花数据集中三类特性两类样本情况下的分类-Fisher discriminant achieve Iris dataset classified into three categories characteristic of the two kinds of case
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.
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
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
Bayes
- 利用贝叶斯网络对IRIS数据（鸢尾花）进行分类，含原始数据-Bayesian network IRIS data (iris) are classified, including raw data
beyes
- 贝叶斯分类 模式识别 鸢尾花数据分为四类-Bayesian classification pattern recognition iris data into four categories
perceptron-algorithm-
- 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.
RandomForest
- 机器学习随机森林源码。改变决策树的深度对比分类结果。对鸢尾花数据进行决策树分析-random forest
Iris_DecisionTree
- python 鸢尾花（iris）数据分类测试程序，采用决策树方法。(Python iris flower (IRIS) data classification test program, using the decision tree method.)
Iris_RandomForest
- python鸢尾花（iris）数据分类程序举例，采用随机森林算法。(Python iris flower (IRIS) data classification program is used for example, and the random forest algorithm is used.)
Iris_Adaboost
- python鸢尾花（iris）数据分类程序例子，采用adaboost算法。(Python iris flower (IRIS) data classification program examples, using the AdaBoost algorithm.)
Iris_LinearRegression
- python 鸢尾花（iris）数据分类的例子，采用线性回归算法。(Python iris data classification example, using linear regression algorithm.)
神经网络
- BP神经网络算法，以鸢尾花为例子的分类算法。(BP neural network algorithm, using iris as an example of the classification algorithm)
IrisTest
- 运用matlab对鸢尾花数据进行了基于knn算法的分类编程(Using MATLAB to classify iris data based on KNN algorithm, we can refer to it.)
svm
- 利用支持向量机，对鸢尾花数据集进行分类。(Support vector machine is used to classify iris data set.)
svm分类鸢尾花数据集
- Three classifications of iris data using SVM based on Anaconda