资源列表
ex2-003(Week3)_finished
- 百度NG的机器学习教程 文档以及程序代码，对于初学者很有帮助，有助于理解分类聚类等基本的机器学习算法， week_3-Baidu NG machine learning tutorial documentation and program code, useful for beginners, help to understand the classification clustering week3
dpc
- 这是2014年在自然杂志上发表的密度峰聚类的代码-This is 2014 in Nature magazine published the density peak clustering code
K-meansbased-on-image-segmentation
- 基于K-means聚类算法的图像分割 代码及实验测试结果-K-means clustering algorithm based on image segmentation code and some experimental results
libpca-1.3.3.tar
- 快速有效的 pca c++库，亲测比matlab版本的快了不少-Fast and effective pca c++ library than matlab pro-test version of a lot faster
svm_series
- 用python实现的SVM回归预测的程序，通过Anaconda实现对机器学习包sklearn的调用。-SVM regression using python to achieve predictable procedures, machine learning package sklearn call by Anaconda.
Combined
- Cart Decision tree model optimized using Genetic Algorithm and PSO
examples
- R 语言的一些基本的例子和机器学习的例子-Some basic examples of R language and examples of machine learning
kNN
- 用python编写的knn算法，并将其应用到改进约会网站的配对效果和手写识别系统两个实例中。-Written in python knn algorithm and its application to improve the effectiveness and dating sites pairing handwriting recognition systems both instances.
k_means
- 这是数据挖掘中的k均值聚类算法，用java语言编写的，对于搞聚类的人士很有帮助-This is the data mining k-means clustering algorithm, using java language, for persons engaged in clustering helpful
svmMLiA
- 支持向量机是最常用的一种分类器，它通过求解一个二次优化问题来最大化分类间隔，本例采用的SMO算法，可以大大优化运行-Support vector machine is the most commonly used classifier, it can be used to solve a two optimization problem to maximize the classification interval, this example uses the SMO algorithm, ca
logRegres
- Logistic回归主要目的是寻找一个非线性sigmoid的最佳拟合参数，采用梯度上升算法可以达到局部的最优化-The main purpose of Logistic regression is to find the best fitting parameters of a nonlinear sigmoid, and the gradient ascent algorithm can be used to achieve the local optimization.
bayes1
- 朴素贝叶斯法主要根据概率论中的贝叶斯法则，是一种很好的用于文本分析的机器学习算法-Naive Bayes method is a kind of machine learning algorithm based on the theory of probability, which is a good machine learning algorithm for text analysis.