搜索资源列表
dataming
- 介绍数据挖掘的10种主要算法及其应用 一种透过数理模式来分析企业内储存的大量资料，以找出不同的客户或市场划分，分析出消费者喜好和行为的方法。 -Top 10 algorithms in data mining his paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006:
knnsvm
- 结合KNN(最近邻)算法和SVM(支持向量机)算法的分类器，，原创-KNN+SVM classification recognition algorithms, absolute originality
classification
- 分类算法，包括KNN，SVM,Linear Regression, Naive Bayes四种-four algorithms of classification, includes KNN, SVM, Linear Regression, Naive Bayes
knniris
- fusion svm_knn the output of svm will be the input of knn classifier
Meta-Biomarker.tar
- meta biomarker code matlab for feature s selection uses filer methods Relief and mrmr with svm and knn like classifier for validation
MachineLearning
- 机器学习的十大算法，AdaBoost，Apriori，CART，EM，K-means，kNN，PageRank，SVM-Ten machine learning algorithms, AdaBoost, Apriori, CART, EM, K-means, kNN, PageRank, SVM
gabor
- 利用KNN，SVM等方法选择Gabor滤波器组-Use KNN, SVM and other methods selected Gabor filters
JSvmLib
- SVM的java算法实现。可以跑通。support vector manchine and kNN分类的源代码.支持向量机是数据处理的比较良好的方法-The java SVM algorithm. You can run through.
123
- 手写字符识别，使用svm 支持向量机和 knn最近邻分类器-Handwritten character recognition using svm SVM and knn nearest neighbor classifier
Neural-Network
- This folder contains the following sub-folders which are essential in our project: 1.Raw Data All the raw data collected from Flagstaff hill, CMU Athletic Field, and Railroad on Neville St. 2.Filter Filter to rule out signal of Channel
stprtool_v2.12
- 统计模式识别工具箱(STPRTool 版本2.12 2013-09-12) 功能有线性判别函数、特征提取、密度估计和聚类、支持向量机、贝叶斯分类器、交叉验证等-Statistical Pattern Recognition Toolbox Methods: Fisher,PCA,GMM,K-means,SVM,Bayes classifier,Cross-validation,KNN,etc.
Pattern_Recognition
- 自己在硕士期间用到的各种模式识别，机器学习，数据挖掘算法的matlab程序。C4_5,NN，SVM，adaboost,KNN等-During their Master used a variety of pattern recognition, machine learning, data mining algorithm matlab program. C4_5, NN, SVM, adaboost, KNN, etc.
image-retrieval
- This a simple demonstration of a content based image retri using 2 techniques. 1. Using knn for image retri 2. Using svm for image retri .-This a simple demonstration of a content based image retri using 2 techniques. 1. Using knn for image
project2_code
- 这是matlab编写的Logistic Discrimination 和 KNN分类器代码。这两个算法的实现参考了《Introduction to Machine Learning》。 除此在代码中还包含了调用matlab自带的libsvm的例程。rumLogisticDiscrimination， runKnn， runSvm分别对这3个算法在数据集liver_train_data上的分类准确度进行测试。测试结果在code report.doc 中有简要描述。-This code implem
Ch02
- 《机器学习实战》源代码 第二章的代码,代码为python代码 可以到官网上下载 里面有KNN算法，决策表算法，SVM支持向量机算法等等。后面章节待传。-machine learning source code 2nd
Ch03
- 《机器学习实战》源代码 第二章的代码,代码为python代码 可以到官网上下载 里面有KNN算法，决策表算法，SVM支持向量机算法等等。后面章节待传。-Machine Learning 2nd
Ch04
- 《机器学习实战》源代码 第二章的代码,代码为python代码 可以到官网上下载 里面有KNN算法，决策表算法，SVM支持向量机算法等等。后面章节待传。-Machine Learning 4nd
eMailSystem
- 采用有监督的朴素贝叶斯、SVM和KNN算法对进行训练，实现对邮件的分类-Using supervised naive bayes, SVM and KNN algorithm for training, implementation of the classification of the mail
machine-learning
- python3实现各种机器学习算法，包括knn算法，决策树算法，SVM算法，朴素贝叶斯算法等-Python3 realize all kinds of machine learning algorithms, including KNN algorithm, the decision tree algorithm, the SVM algorithm, naive bayesian algorithm, etc
SVMPKNN
- 自己编写的一个分类小程序，实现了SVM和KNN算法，附件带有UCI数据集中的一些测试数据。-I have written a small program classification, to achieve the SVM and KNN algorithm, the attachment with some test data UCI dataset.