搜索资源列表
-
0下载：
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
-
-
0下载：
基于K均值聚类的图像分割算法
java源代码 十分好用 希望大家喜欢,K-means clustering-based image segmentation algorithm
-
-
0下载：
CURE: AN EFFICIENT CLUSTERING ALGORITHM FOR LARGE DATABASES-CURE: AN EFFICIENT CLUSTERING ALGORITHM FOR LARGE DATABASES
-
-
0下载：
Many of the pattern fi nding algorithms such as decision tree, classifi cation rules and clustering
techniques that are frequently used in data mining have been developed in machine learning
research community. Frequent pattern and asso
-
-
0下载：
weka全名是怀卡托智能分析环境（Waikato Environment for Knowledge Analysis），是一个公开的数据挖掘工作平台，集合了大量能承担数据挖掘任务的机器学习算法，包括对数据进行预处理，分类，回归、聚类、关联规则以及在新的交互式界面上的可视化-full name is weka intelligent analysis environment Waikato (Waikato Environment for Knowledge Analysis), is an o
-
-
1下载：
数据挖掘相关算法集合，有聚类、神经网络、遗传算法等的代码实现-Data mining correlation algorithm collection has clustering, neural networks, genetic algorithms, such as the code implementation
-
-
0下载：
这是K-neans动态聚类算法的源程序，是人工智能领域很有用的一种聚类方法。-This is K-neans source dynamic clustering algorithm, the field of artificial intelligence are useful in a clustering method.
-
-
0下载：
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
-
-
0下载：
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
-
-
0下载：
Weka是一个超强功能的machine learning开发包-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, clas
-
-
0下载：
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
-
-
0下载：
Fuzzy C means clustering
-
-
0下载：
Fuzzy clustering is a class of algorithms for cluster analysis in which the allocation of data points to clusters is not "hard" (all-or-nothing) but "fuzzy" in the same sense as fuzzy logic.
-
-
0下载：
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.
-
-
0下载：
数据挖掘经典算法实现。使用这个算法分别对图片和DBLP上面学者的合作关系图进行了聚类，然后评估聚类的结果。算法实现用的java，DBLP的数据的搜集和预处理是用Python编写。-Classical data mining algorithm. Using this algorithm, respectively, pictures and cooperation between scholars DBLP above graph clustering, and then evaluate th
-
-
0下载：
k-means算法是文本聚类经典算法，也是数据挖掘十大经典算法之一。k-means算法Java实现。-k-means algorithm is a classical algorithm text clustering, data mining is one of the ten classic algorithms. k-means algorithm is implemented in Java.
-
-
0下载：
dbscan in java .. compressed in .rar ..full implementation of density based clustering
-
-
0下载：
KMeans聚类算法的Java实现 KMeans聚类算法的Java实现-KMeans clustering algorithm implemented in Java KMeans clustering algorithm implemented in Java KMeans clustering algorithm implemented in Java
-
-
1下载：
MOA Machine Learning for Streams。它包括一系列机器学习算法（分类，回归，聚类，异常值检测，概念漂移检测和推荐系统）以及评估工具。与WEKA项目相关的MOA也是用Java编写的，同时扩展到更严苛的问题。
https://moa.cms.waikato.ac.nz/(It includes a series of machine learning algorithms (classification, regression, clustering, outlier
-
-
0下载：
使用Java语言实现了简单的K-Means聚类算法(A simple K-Means clustering algorithm is implemented in Java language.)
-
