资源列表
enrichment.function
- 为基因序列进行富集功能分析，对具有已知功能的基因进行筛选并列出富集的基因-Functional analysis for gene array
kNN
- k近邻算法，可以简单准确的对数据，按照给定点与设定点的欧氏距离大小，进行分类-K nearest neighbor algorithm, can be simple and accurate data, in accordance with the set point to the point and the Euclidean distance of the set point size, classification
GA-BP
- 运用种群遗传算法优化BP神经网络的权值和阀值-The use of genetic algorithm optimization BP neural network weights and thresholds
MachineLearnngInActionandsourceCode
- 机器学习实战及配套Python代码,很好的入门书。-Machine Learning in Action. Source eode and book
treePlotter
- 决策树根据信息增益对数据进行分类，并且构造树的结构，输出结果易于理解-Decision tree based on information gain to classify the data, and construct the structure of the tree, the output result is easy to understand
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.
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
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
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.
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
Combined
- Cart Decision tree model optimized using Genetic Algorithm and PSO
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.