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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
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
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.
基于信息熵的蚁群聚类JAVA实现
- 基于信息熵的蚁群聚类JAVA实现。包含测试数据。-Ant Colony Clustering JAVA based on information entropy. Contains the test data.
c
- CURE: AN EFFICIENT CLUSTERING ALGORITHM FOR LARGE DATABASES-CURE: AN EFFICIENT CLUSTERING ALGORITHM FOR LARGE DATABASES
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
- this is a very good code for k means clustering. works quite fast. can download for school assignments.
java
- 利用java，神经网络在模拟聚类分析中的应用程序-The use of java, neural network clustering analysis in a simulated application
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
FCM
- Fuzzy C-means algorithm written in Java
cluster1
- it is java code for k means clustering algorithm
kMeans
- k-mean image clustering source code developed using java
KMeansImageClustering
- This very usefull file which helps for image clustering using java-This is very usefull file which helps for image clustering using java
SimpleRegionGrowing
- usefull k-mean algorithm developed for image clustering using java
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
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
hadi1187726593
- This an article that can help you understand K-Means Clustering. Thx
java
- 聚类分析java设计思想 用于快速聚类分析算法的需求-Cluster analysis java design ideas for fast clustering algorithm needs
Clustering
- it is an clustering algorithm to make data cluster for semantic web services
SRTP1.0
- javaSwing实现的web文档聚类方法研究，不同权值与精度，直接输入新闻网址，可以自动解析并聚类web文档-javaSwing implemented method of web document clustering, different weights and precision, direct input news sites, you can automatically parse and web document clustering