搜索资源列表
faster_pca
- 采用java实现的基于weka的快速pca源码。包括中心化、归一化、主程序和测试类-Java implementation of the Weka based fast PCA source code. Including center, normalization, main program and test class
dotnetWeka1
- C#和weka的混合编程，主要实现在C#中调用Weka工具包的功能。-Blending Program with C Sharp and weka tool.
adaboost
- Now, you ought to implement the AdaBoost.M1 and AdaBoost.M2 algorithms. These algorithms are two versions of the AdaBoost algorithm for handling the Problems with more than two classes. You must first read the paper “Experiments with a New Boosti
hand_writing
- 用Java实现了手写体数字识别，采用了WEKA工具包-Using Java to achieve a handwritten digit recognition, using the WEKA Toolkit
WekaKnnInJAVA-master
- weka knn java算法实例，K-最近邻算法分析测试-weka knn java api
wekaIBk
- java写的调用weka中IBK分类算法-java write call in IBK classification algorithm weka
wekacodenew7
- 提出的最新的具有代表性的分类算法进行分析和比较 ,总结每类算法的各方面特性 ,从而便于研究者对已有的算法-A previous version of the wiki, in Wikispaces format, was hosted on sourceforge.net. The content was then migrated to a new wiki in MediaWiki format, and the old wiki was decommissioned. During the
julei
- 用weka工具实现文本的分类和聚类，包含有测试下所需要的文件-Weka with a Text tool classification and clustering, include files required for testing under
wekaConnDB
- weka连接数据库oracle、mysql等-Weka connection
modeltrain
- 使用weka工具包进行kmeans聚类的java源码-Kmeans cluster by Weka
LibSVM1.0.10 (1)
- svm in Java which can be used in Weka and works well. installing it management of the main interface
2014发表论文的规定to吴继芳
- svm in Java for Weka plateform , it works well and can be installed by the menegement of main interface.
artificial-immune-system-applications-in
- svm2 in Java for Weka plateform , it works well and can be installed by the menegement of main interface.
pip-9.0.1-py2.py3-none-any
- svm in Java for Weka plateform , it works well and can be installed by the menegement of main interface.
mafft-7.310-gcc_fc6.x86_64
- svm3 in Java for Weka plateform , it works well and can be installed by the menegement of main interface.
distributedWekaSpark-master
- wekaspark of master,it is useful,and it is so fast.
weka机器学习十大算法
- 对机器学习领域的十个经典算法进行了详细介绍，包括：AdaBoost、Apriori、C4.5、CART、EM、K-means、kNN、PageRand、SVM和朴素贝叶斯(Ten classical algorithms in machine learning domain are introduced in detail, including AdaBoost, Apriori, C4.5, CART, EM, K-means, kNN, PageRand, SVM and Nave Baye
36683048
- 嵌入weka中使用的支持向量机工具包,实现SVM的分类算法,()
qdcrifs186
- 这是我从weka主页上下载的一个c4 5算法的改进算法,里面附有readme文件,只有算法的主体,大约600行代码()
arffwrite
- usage: convertion vector(double) to arff(weka) type code.