搜索资源列表
classifier-1.12
- 能对从Google中搜索出来的文本进行聚类,提供了Java包,及调用源代码.-can right from the Google Search for the text clustering, a Java package, source code and call.
h2
- 最新纯JAVA数据库，支持集群，支持私有内存数据库，-latest pure Java database, clustering support, the private support memory database
Weka-3-2
- Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clusteri
JAVAclustering
- JAVA 本程序所实现的功能为对数据进行无监督的学习，即聚类算法-JAVA the procedures for the functions of data unsupervised learning, clustering algorithm
LongestDistance
- java实现层次聚类,最远距离算法,具有良好的程序结构,具有通用性-java achieve hierarchical clustering, the most remote algorithm has a good program structure is universal
ShortestDistance
- java实现层次聚类最小距离算法,代码结构良好,具有复用性.-java achieve minimum distance hierarchical clustering algorithm, code structure and has a good reusability.
KNearest
- JAVA实现基于试探的未知类别聚类算法.具有良好的代码风格,便于复用-JAVA based probe the unknown type of clustering algorithm. The code has good style, ease of reuse
DBSCAN_JAVA
- DBSCAN算法的JAVA实现,可以在D:\\使用text.txt数据文件来进行DBSCAN聚类-DBSCAN algorithm JAVA, the D : \\ text.txt data files used for clustering DBSCAN
weka
- :<<数据挖掘--实用机器学习技术及java实现>>一书的配套源程序，结合数据挖掘和机器学习的知识,以java语言实现了具有代表性的各类数据挖掘方法.例如:classifier中的ZeroR.OneR.NaiveBayes.DecisionTable.IBK.C45,还有聚类,数据预处理等-: lt; Lt; Data Mining -- Practical Machine Learning Technology and java achieve gt; Gt; A ma
quartz-1.6.0
- Quartz is a full-featured, open source job scheduling system that can be integrated with, or used along side virtually any J2EE or J2SE application - from the smallest stand-alone application to the largest e-commerce system. Quartz can be used to cr
weka-src
- weka源代码 最全最新的 数据挖掘用机器学习实现。包含聚类 分类 关联规则 离群点监测。java平台-weka most up-to-date source of data mining using machine learning to achieve. Clustering association rules classification contains outliers monitoring. java platform
blacktie-2.0.0.M3-src
- BlackTie计划，可以让用户将原有的JAVA和分布式事务处理环境迁移到红帽的平台之上。 BlackTie可让企业级用户轻易地将C、C++和大型主机应用程序集成到JBoss环境之中，为用户提供企业级的开源服务，诸如安全、集群和事 务处理等。 该版本主要改进内容包括： 1.The new btadmin command line tool 2.Renaming Environment.xml files to btconfig.xml to make them
suanfashixian
- 通过聚类分析算法实现可以得到想要的聚类结果-Clustering algorithm to use java analysis
Kmeans
- K-means算法实现文本聚类，Java实现的版本-K-means algorithm for text clustering
WekaChameleon
- 数据挖掘 weka 版的 chameleon 聚类算法java源码， 可直接用weka 运行-chameleon clustering algorithm source code for weka
K-Means-JavaSwing
- java实现的K-means聚类算法，结合swing，带有界面功能，操作简单直观-java implementation of K-means clustering algorithm, combined with the swing, with interface features simple, intuitive operation
kmeans
- 数据挖掘kmeans图像聚类实验代码 用 VC 或 Java 实现 k-means 聚类算法， 分别以迭代次数及分配不再发生变化为算法终止条件，用图片（自己选择）作为数据集，比较运行时间（画出时间与像素点的关系曲线图，因此须用多幅像素个数不同的图片进行实验） 提交实验报告与源代码。-VC or Java k-means clustering algorithm, were no longer change the number of iterations and the allocation
KMeans
- 用java实现Kmeans，记录质心变化，并以与质心方差来衡量聚类的效果。代码详尽完整，并附上数据，可运行。-With java Kmeans, record changes in the centroid, and to measure the effect of clustering with the centroid variance. Comprehensive code, along with the data, you can run.
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)
api-cluster
- 用java写的层次聚类，其中距离函数是complete（即最大值优先）(Cluster(agglomerative clustering, complete linkage method) to analyze API usage.)