资源列表
convnetjs-master
- 基于C#开发的深度神经网络网页版。将文件夹拖动至浏览器即可使用功能。包括CNN、DBN等多种深度学习思路。-Based on C# development of depth Neural Network Web version. Drag the folder to the browser functionality. Including CNN, DBN and other deep learning ideas.
Apriori
- 用Apriori算法进行频繁项挖掘,输入文件格式参见input中的例子。-Mining frequent item with Apriori algorithm, the input file format see input examples.
Clustering
- 对数据进行归类，采用了k-means,NMF以及谱聚类三种方法。其中， 谱聚类的效率比较低下。-Classify the data, using the k-means, NMF and spectral clustering three methods. Among them, the relatively low efficiency of spectral clustering.
SgdClassifier
- 随机梯度下降分类器。本实验的实验平台为eclipse，只需导入(import)即可运行。输出方式为控制台输出，能够提供的评价数据有test error, percision, recall以及F1-measure。-Stochastic gradient descent classifier. In this study, experimental platform for eclipse, just import (import) to run. Output of the console o
RandomForestaAdaBoost
- 随机森林，决策树以及adaboost分类器的java实现。随机森林和adaboost都基于决策树完成。-Random forests, tree and adaboost classifier java. Random Forest and adaboost are based on the decision tree is complete.
SVM
- SVM多分类算法的一些程序，有很多种类型，包括经典的四种工具箱，还有代价敏感支持向量机，超球面支持向量机等-Some programs about SVM multi-classification algorithm, there are many types, including the classic four toolbox, as well as the price-sensitive support vector machine, hypersphere support vector
YPML101-Evolutionary-Clustering
- dbscan聚类算法matlab代码，实测可用-dbscan clustering matlab code!!
ypml110-dbscan-clustering
- 分类算法，实测可用，可选择分类算法类型进行分类。-Classification algorithm, found available, you can choose the type of classification algorithm to classify.
agenes
- 基于层次聚类的算法.最初将每个对象作为一个簇，然后这些簇按照某些规则一个个合并起来-The algorithm based on the hierarchical clustering algorithm, which is used as a cluster of each object at first, then the clusters are merged according to some rules.
edit_distance
- 字符串的编辑距离也被称为Levenshtein距离（Levenshtein Distance），一般用动态规划来实现。属于经典算法。-Edit distance of the string is also known as the Levenshtein distance (Distance Levenshtein), the general use of dynamic programming to achieve. Belong to the classical algorithm.
DataMining_5
- java实现的决策树代码和随机森林以及Adaboost,里面有自带的数据集可以测试，结果和书上描述一样，亲测有效-DesicionTree，RandomForest and AdaBoost implemented by java,have been tested by myself.It can help those who want to learn data mining
apriori
- aprior算法的java实现，比较简单，能输出关联规则。经测试，可用。-apriori algorithm to achieve the java, is relatively simple and can output association rules. Tested and available.