搜索资源列表
K-Meansl
- 自己编写了一个c++的k均值聚类算法，使用起来很方便，数据存储在txt文件里，可以 改成自己的数据，方便使用,目录里给了两组UCI机器学习数据库上的数据，供实验用 。可以用这个文件直接运行就好了，里面给出了详细的使用说明。-k means clustering by array.
Semi-supervised-learning
- 义了一个欧氏距离和监督信息相混合的新的最近邻计算函数，从而将K一均值算法很好地应用于半 监督聚类问题。针对K一均值算法初始质心敏感的缺陷，用粒子群算法的搜索空间模拟聚类的欧氏空间，迭代搜 索找到较优的聚类质心，同时提出动态管理种群的策略以提高粒子群算法搜索效率。算法在UCI的多个数据集 上测试都得到了较好的聚类准确率。-Righteousness of a Euclidean distance and supervision of a mixture of new nearest n
Untitled
- 手写体数字辨别,样本数据与训练数据均来自UCI 机器学习数据库网站：http://archive.ics.uci.edu/ml/datasets.html 采用BP多学习率算法-BP algorithm of neuro network
PCA_based-Face-Recognition-System
- 模糊支持向量机做分类数据集——人脸识别,数据来源UCI，用于模式识别做分类- PCA_based Face Recognition System dataset
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
adult-LR
- 自己编写的机器学习中处理UCI数据集中的Adult数据集的LR算法的C++源代码，可根据需要自己替换数据集。-I have written to handle UCI machine learning data set of the Adult data set of the LR algorithm C++ source code, can be replaced according to need their own data sets.
uci2svm
- 将UCI数据转为为libSVM数据格式的matlab代码。包含数据集。-The UCI data into for libSVM data format of matlab code. Contains data set.
glass
- non baysian for glass data of uci with median
pvm_code
- PVM is a fast supvervised leanring algorithm who combine dimensioin reduction and neural network training. I have prepared the code (including six algorithms KPVM, EL M/SVD, BP/SVD and BPVM, and one dataset "Face") and put them in one zip file "pvm
ID3
- 决策树分类算法的实现和性能测试,使用UCI Iris Data Set进行测试。-Implementation and performance testing of the decision tree classification algorithm
knn
- knn算法实现 采用的是 机器学习数据库中的Letter Recognition Data Set-The KNN algorithm is used to achieve the UCI Machine Learning Repository: Letter Recognition Data Set
CART
- 机器学习-CART决策树代码。使用UCI上面的Adult数据集。-Machine learning- CART decision tree using adult database on UCI.
machineLearning
- 机器学习-分类器-垃圾邮件系统。数据集来自UCI-spambase.data.-Machine Learning- spam classifier.
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
ANN_BP--classifier
- ANNbp对UCI中鸢尾花数据集分类，150做训练样本，剩下150做测试样本-ANNbp on the UCI iris data set classification, 150 training samples, the remaining 150 test samples
ImageContrastEnhance--sourcecode-
- 图像对比度增强 java源码 UCI Aditi Majumder, Sandy Irani等 Contrast Enhancement of Images using Human Contrast Sensitivity-Image contrast enhancement java source UCI Aditi Majumder, Sandy Irani, etc. Contrast Enhancement of Images using Human Contrast Sensiti
wine
- UCI红酒分类，matlab码源，已调试-Liquor classification pattern recognition
Handwritten-recognition
- 用BP算法设计分类器，实现对UCI 机器学习数据库中0-9 这10 个手写体数字的训 练和测试。-BP algorithm designed classifier, to achieve the UCI machine learning database 0-9 10 handwritten digits training and testing.
ELM
- MATLAB实现ELM算法，并附带UCI经典数据。-MATLAB realization ELM algorithm, along with the classic UCI data.