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system
- Java技术调用Weka中新开发的算法设计实现了一个基于上述特征选择和规则提取的在线数据挖掘分类系统，可实现数据的自动分类、数据规则提取以及数据预测等功能，满足用户通过Web实现在线规则提取、数据类别预测等数据挖掘需求。-depending on weka ，attribute selection classification
WekaUse
- Weka各类分类器的使用（Java）.MyEclipse2013+Weka3.6+libsvm3.18+Jdk1.7+Win8.1-Weka various types of classifiers using (Java). MyEclipse2013+Weka3.6+libsvm3.18+Jdk1.7+Win8.1
distributedWekaBase1.0.2
- extension in java for weka
TestWeka
- 在java环境下，调用weka实现简单的weka使用-test weka
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
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
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.
moa-release-2016.04
- MOA Machine Learning for Streams。它包括一系列机器学习算法（分类，回归，聚类，异常值检测，概念漂移检测和推荐系统）以及评估工具。与WEKA项目相关的MOA也是用Java编写的，同时扩展到更严苛的问题。 https://moa.cms.waikato.ac.nz/(It includes a series of machine learning algorithms (classification, regression, clustering, outlier