搜索资源列表
AGAandLAGA
- 两种改进的遗传算法（自适应交叉概率的遗传算法，加入领域竞争策略的遗传算法）相比较的matlab程序，基于UCI的两个数据集，可直接运行程序观察效果。-both improved genetic algorithm (adaptive crossover probability of genetic algorithm, to field a competitive strategy of genetic algorithm) compared to the Matlab procedures,
mat
- 用于人工智能分类算法仿真的数据集 UCI数据集 已经过集成-Simulation of artificial intelligence classification algorithm for data sets UCI data sets have been integrated
fuzzyPR
- 模糊聚类的经典算法，可以使用UCI数据集进行聚类，该程序附有详细的说明-Classical fuzzy clustering algorithm, you can use the UCI data sets clustering, the program is accompanied by a detailed descr iption of
wine
- pca-kmeans聚类 先将数据(wine,uci数据集)降维处理，在进行聚类-pca-kmeans clustering use the data of uci:wine.
dat_banana
- 香蕉形(banana)标准数据集，用于测试机器学习与模式识别算法。-Banana-shaped standard data set for testing machine learning and pattern recognition algorithm.
NB
- 自己编写的NB函数，可以读取UCI数据集中任意一个数据集。-I have written the NB function, can read any of the UCI data set data set.
NB_breast_cancer_wisconsin_original
- 基于朴素贝叶斯的分类练习，在UCI数据库中的breast数据集上进行的测试-Bayesian classification based on practice, in the UCI database data set on breast test
LR_adult
- 基于逻辑回归的分类实验，在UCI数据库的audlt数据集上进行测试-Classification based on logistic regression test, the database in the UCI data set to test audlt
LVQandSOM
- perform SOM and LVQ on 2 UCI dataset and compare thier classification accuracy.
KNN4hypothroid
- this source code claculate KNN for hypothroid uci dataset
SMOSVM
- 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.
UCI-dataset
- uci数据集 第一列为类标,其他列为特征-This is UCI dataset.The first column is label.The other columns are features.
SVM
- svm分类器，利用svm分类器分离的例子，数据来自UCI-svm classification using svm classifier separation example, data from UCI
SpokenArabicDigit
- this matlab code reads the data text files UCI Spoken Arabic Digits and save the results in a mat file which user can easily use.
SP_UCI
- The shuffled complex evolution with principal components analysis–University of California at Irvine (SP-UCI) method is a global optimization algorithm designed for high-dimensional and complex problems. It is based on the Shuffled Complex Evolution
wine
- UCI红酒分类，matlab码源，已调试-Liquor classification pattern recognition
UCI
- KNN近邻算法程序 绝对可用 -KNN nearest neighbor algorithm program is absolutely free program is absolutely free KNN nearest neighbor
PCA
- PCA算法实现对数据降维，train_sample为训练样本，train_class为训练样本的分类结果，test_sample为测试样本，test_class为测试样本的分类结果，可以从UCI下载数据集进行调用~-PCA algorithm for data dimensionality reduction, train_sample of training samples, train_class for the classification of training samples, tes
数据集
- 本文件为常见聚类算法测试数据集 ，UCI上常用的聚类算法数据集(This document is a common clustering algorithm test data set.)
UCI
- 用于神经网络训练的UCI数据集，mat格式(UCI training dataset for ANN training with mat form)