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GN聚类算法的java实现
- GN聚类算法的java实现，将复杂网络表示成矩阵的文档格式，即可得到该网络的聚类结果
关系数据重复记录生成
- 实现了关系数据库的重复记录生成。使用Java语言实现。由于原始数据库采用csv格式，所以借用csv工具包。界面简洁。功能如下：从csv文件导入原始数据，按一定比例生成重复记录，然后按一定规则将重复记录改为相似记录，再将所有记录混排，最后进行数据的聚类操作。
聚类的GN算法
- 很好地实现了聚类的GN算法的java程序
Clique聚类算法Java版.rar
- Clique聚类算法Java版.rar
JAVA实现文本聚类，用到TF/IDF权重
- JAVA实现文本聚类，用到TF/IDF权重，用余弦夹角计算文本相似度，用k-means进行数据聚类等数学和统计 知识。,JAVA realization of text clustering, using TF/IDF weight, calculated using cosine angle between the text of similarity, using k-means clustering for data such as mathematical and statistical
weka-src.rar
- Weka，一个数据挖掘工具。功能包括：分类、聚类和关联规则等等。这是该开源软件的源代码，版本为3.5.7,Weka, a data mining tool. Features include: classification, clustering and association rules, etc.. This is the open source software source code, version 3.5.7
java-cluster.zip
- 用java语言实现文本聚类，包括聚类前的数据预处理：分词、降维、建立向量空间模型等,Implementation using java language text clustering, including clustering of the data pre-processing before: segmentation, dimensionality reduction, set up, such as Vector Space Model
k-meansjava.rar
- 用JAVA语言实现的经典聚类算法k-means，聚类与分类不同，它是无监督的过程，,JAVA language used to achieve a classic clustering algorithm k-means, clustering and classification of different, it is the unsupervised process,
FuzzyCMeans
- FCM聚类算法，共大家参考，多多学习，谢谢大家，共同学习聚类算法-FCM
聚类K-Medoids算法
- 聚类K-Medoids算法。文件里面包含了详细的程序说明和示例。-K-Medoids clustering algorithm.The file contains a detailed descr iption of the procedures and examples.
k-means(java)
- k-means算法是基于划分的聚类方法，本算法简单，便于理解，以可视化界面的形式将结果展示出来。-k-means clustering algorithm is based on the division method, this algorithm is simple and easy to understand visual interface to the form of the results.
kmeans
- 聚类算法kmeans，比较简单的聚类算法，通过欧几里德距离确定聚类的标准，对二维的点进行聚类-Clustering algorithm kmeans, relatively simple clustering algorithm, through the Euclidean distance to determine the standard clustering of the points of two-dimensional clustering
Clustering
- 用于文本的聚类，里面包含两个java文件，需放在同一个包内-For text clustering, which contains two java files, need to be placed within the same package
clustering
- 各种聚类算法代码 都很好用的 各种聚类算法代码-Various clustering algorithms are very useful source of a variety of clustering algorithm code
weka
- 经典的数据挖掘算法的源代码，包括分类、聚类、关联规则等，非常有用。-Classical data mining algorithms of source code, including classification, clustering, association rules and so on, very useful.
textclusterr
- 文档分类，用K均值，加入了K的选择算法，不用人为设定聚类个数-Document classification, using K-means, joined the K of the selection algorithm, not the number of artificial clustering
kmeans
- 数据挖掘里面的经典的聚类算法 K-means-K-means
jknn
- 一个KNN原理的示范性代码，Java 编写，用于简单的聚类分析！-KNN principle demonstration of a code, Java is written for simple clustering analysis!
聚类算法java实现
- 学校期间练习的小程序，聚类算法，供初学者使用(During the school practice of small procedures, clustering algorithm for beginners to use)
基于粗糙集的层次聚类算法研究
- 实现了两种基于粗糙集模型的层次聚类算法，采用java编程语言实现(Hierarchical clustering algorithm for categorical data using a probabilistic rough set model)