搜索资源列表
weka-3-4-4
- 由java开发的软件包，里面有人工智能所用的很多东东，包括神经网络，支持向量机，决策树等分类和回归分析方法，集成化软件哦！-by java development package, which has artificial intelligence used by many of the Eastern, including neural networks, support vector machines, such as decision tree classification and reg
svm-EM
- SVM(支持向量机）和EM（最大熵）文本分类算法，压缩包中包括了测试文本（环境类和计算机类），词典，停用词表等。-SVM (support vector machine) and EM (maximum entropy) text classification algorithm, compressed package includes test text (environmental and computer), dictionary, thesaurus, such as disabled.
HSVM
- java实现的支持向量机分类，可用于教学以及交流-java realization of support vector machine classification, can be used for teaching as well as the exchange of
libsvm-2.82
- 支持向量机的源代码，很难得的！
TFIDF
- 用于计算文档向量的TFIDF权值，代码使用Java语言写的-Used to calculate the document vector of TFIDF weight, code written using the Java language
guihuaxuexi
- 只是神经网络学习中的一个非常重要的章节，讲的是规划学习，支持向量机。-Neural network learning is a very important chapter, learn about the planning, support vector machines.
code
- 支持向量机的一些常用的源代码，包括KPCA，KFD等。-Some commonly used support vector machines source code, including KPCA, KFD and so on.
JSvmLib
- 支持向量机SVM的SMO算法java实现-The SMO support vector machine SVM algorithm java implementation
clusting-algorithm
- 这儿是关于支持向量机的资料和代码。也有我自己写的程序。关于聚类的-Here is information on support vector machines and code. Have to write my own program. About Clustering
vsm-and-cluster-kmeans
- 对文本聚类的向量空间模型机制VSM以及Kmeans等讲解比较详细，是研究文本聚类的好书籍-Clustering of text vector space model to explain the mechanism of VSM and Kmeans and other more detailed, study of text clustering is a good book
SVM
- 支持向量机实现的文档分类，适宜初学者，JAVA实现。-Implementation of support vector machine classification of the document, suitable for beginners
SupportVectorMachine
- SVM（support vector machine) 在object classification中的应用. 含java程序和data。-one application of SVM in object classification.
libsvm-3.17-JAVAaCPP
- libsvm-3.17-JAVA&C++版本,著名支持向量机源代码-libsvm-3.17-JAVA & C++ version of the famous support vector machine source code
JSvmLib
- SVM的java算法实现。可以跑通。support vector manchine and kNN分类的源代码.支持向量机是数据处理的比较良好的方法-The java SVM algorithm. You can run through.
DocDistance
- java实现的文本相似度系统，使用向量空间模型以及余弦相似度距离公式，实测可以实现2篇文本的相似度计算且有一定的效果。-Java text similarity system, using the vector space model and the cosine similarity distance formula, the measured results can be achieved two similarity of text and have some effect.