搜索资源列表
TrabalhoPDI01
- kmeans dataset iris.dat
NMF
- NMF在对Iris数据集上进行将为处理。-NMF:dimension reduction in the dataset Iris
moshishibiesuanfashiyanshuju
- 该数据集中的数据是由鸢尾属植物的三种花——Setosa、Versicolor与Virginica——的测量结果所组成，数据集中共包含150组数据信息，每一类别植物有50组数据。- The data in the dataset is composed of three species of Iris flowers- Setosa, Versicolor and Virginica- consisting of the measurement results, the data set cont
parzen_estimate_psf
- Parzen窗函数法(方窗，正态窗，指数窗)进行数据估计。源码中包含对一维和二维数据的估计程序，同时还将iris、Yeast、abalone数据集绛为一维进行数据估计。-Parzen window functions is used to estimate the datasets(contains the one-dimensional datasets and the two-dimensional datasets). Besides, there are programs that ch
Iris_s1
- Kmeans+PSO算法，处理IRIS数据集，输出fitness function的值，和粒子变化的动态图像,亲测可行。-Kmeans based PSO algorithms, dealing with classic dataset iris. the output is the value of fitness function, and the dynamic plot of the change of particle position
BP_for_classify
- 一个BP神经网络解决分类问题，数据集是Iris数据集-Here is a bp ANN for classify,the dataset used is the Iris dataset
perceptron
- 自己编写的用感知器算法分类UCI数据集中的iris数据集-UCI classification by perception algorithm dataset iris data set
class_bayes
- classifier bayes with dataset iris
BP
- BP神经网络，用C#实现反向神经网络识别iris花数据集，准确率95 以上-BP neural network, using C# implementation iris flower reverse neural network dataset, the accuracy rate above 95
belajar_decision_tree
- Decision Tree Classifier applied on standard Iris dataset using Python.
LogisticRegression
- Logistic Regression on IRIS Dataset using TensorFlow
iris_data_set
- 使用python语言 ， 实现对iris数据集的贝叶斯分类-Using the python language, the Bayesian classification of the iris dataset is achieved
libsvm_experiment
- 利用matlab自带的libsvm库在iris数据集上进行分类实验(Experiment on iris dataset based on the SVM algorithm using libsvm,matlab)
MLP_iris
- 一个简单的多层感知器实现鸢尾花数据的分类的代码(use mlp to realize the classification of Iris dataset)
kmeans
- 用natlab将iris数据聚类为三类。然后将结果与虹膜数据集中的正确结果进行比较，并计算分类精度(You are offered the iris dataset of the UCI dataset. Cluster the data to three categories. Then compare the result with the correct one in iris dataset and compute the classification accuracy.)
iris
- 文件包含鸢尾花csv数据集以及鸢尾花项目代码的py文件以及txt文件(The file contains the iris CSV dataset and the PY file and the txt file of the iris project code.)
鸢尾花
- 封装KNN算法，了解IRIS数据集 分类鸢尾花数据集(Encapsulation of KNN algorithm to understand IRIS dataset classification iris dataset)
K-means聚类
- 应用K-means聚类算法，实现对iris数据集的分类(Using K-means clustering algorithm to realize the Classification of iris dataset)