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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
leach
- leach用java编写的源代码，根据簇头剩余能量与初始能量比较，判断是否重新选择簇头。-The source code written in Java leach, according to initial cluster head the surplus energy and energy comparison, determine whether chose to cluster head.
Kmeans_FCM
- java写的模糊c均值聚类算法和k均值聚类算法-fuzzy c means clustering algorithm and K means cluster in java
lingpipe-3.6.0
- 一个自然语言处理的Java开源工具包。LingPipe目前已有很丰富的功能，包括主题分类（Top Classification）、命名实体识别（Named Entity Recognition）、词性标注（Part-of Speech Tagging）、句题检测（Sentence Detection）、查询拼写检查（Query Spell Checking）、兴趣短语检测（Interseting Phrase Detection）、聚类（Clustering）、字符语言建模（Character
ClusterAnalysis
- Data Mining of JSP example to do the cluster analysis.
hadoop-0.1.0.tar
- Hadoop是一个用于运行应用程序在大型集群的廉价硬件设备上的框架。Hadoop为应用程序透明的提供了一组稳定/可靠的接口和数据运动。在 Hadoop中实现了Google的MapReduce算法，它能够把应用程序分割成许多很小的工作单元，每个单元可以在任何集群节点上执行或重复执行。此外，Hadoop还提供一个分布式文件系统用来在各个计算节点上存储数据，并提供了对数据读写的高吞吐率。由于应用了map/reduce和分布式文件系统使得Hadoop框架具有高容错性，它会自动处理失败节点。已经在具有60
k_means_cluster
- this program explains the K_means cluster Algorithm. and also direct to the best k value
Cluster_Analysis
- 用Java语言实现的空间聚类分析程序，对离散点按照距离标准进行分类。-Java language with the spatial clustering analysis procedures, in accordance with the distance between discrete points of criteria.
MakeDensityBasedClusterer.java.tar
- 基于局部搜索能力强、收敛速度快的特点,首先初始化一个没有子种群的全局种群,再在全局种群中采用迭代搜索,并对其中的个体进行聚类,当聚类簇中的个体数目达到规定的最小规模时形成一个子种群,然后在各子种群中进行迭代搜索并重新进行聚类,从而提高进化过程中种群的多样性,增强算法跳出局部最优的能力.该算法基于weka，用于weka拓展功能，需要 weka算法包支持。-Based on the local search ability, the characteristics of fast convergen
RandomizableClusterer.java.tar
- 该算法是对weka算法包功能的拓展，是聚类算法中的随机聚类分析。需要weka算法包支持。-The algorithm is a function of the weka package expansion algorithm is stochastic clustering algorithm in cluster analysis. Package to support the needs of weka algorithm.
ex-12
- K-Means.java K-means分群法(組數資料皆不固定，開小視窗選檔案:A or B or iris，10 runs + output至Excel)-K-Means.java K-means grouping method (the number of data groups, none is fixed, to open a small window, select the file: A or B or iris, 10 runs+ output to Excel)
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
cluster
- K means clustering of data implemented for all kinds of data-K means clustering of data implemented for all kinds of data...
kmeans
- java k均值源码，实现了k-means的算法，并给出界面显示。实例中通过二维空间中的点进行聚类。-java k-means algorithm, display the cluster result on the two demension.
dbscan
- Density Based Spatial Clustering of Applications of Noise Uses a density-based notion of clusters to discover clusters of arbitrary shapes, in spatial databases Key idea: for each object of a cluster, the neighborhood of a given radius contains
cluster
- The package aims at providing an implementation of k-means Clustering Algorithm in Java. The package does not provide for any UI and it is up to the user to display the output in the required format.
Java-Cluster
- 基于JVM的Java应用集群解决方案。 -JVM' s Java Application Clusters based solutions. JVM' s Java Application Clusters based solutions.
Clustering
- it is an clustering algorithm to make data cluster for semantic web services
mahy
- 基于相对密度的聚类算法（DBSCAN算法），用于处理高密度簇完全被相连的低密度簇所包含的问题-Clustering algorithm based on relative density (DBSCAN algorithm), to handle high-density clusters are completely connected to the problem of low-density cluster contains
Parallel Java
- Parallel Java是基于Java提供的并行编程API，其目标是（1）在一套API中同时支持基于线程/共享内存的并行编程和基于消息/集群的并行编程；（2）提供与OpenMP和MPI相同的功能，但采用面向对象的Java API；和（3）很容易部署在异构计算环境中，包括单核CPU、多核CPU及集群。本文介绍了Parallel Java的特点和体系结构，并与其他基于Java的并行开发中间件进行了对比。(Parallel Java is a API parallel programming bas