搜索资源列表
K-meansCluster-master
- java平台的一个聚类源码，可以很好的实现词库聚类-A cluster source java platform, can achieve a good thesaurus clustering
DBScan03
- DBScan算法实现，用Java高级编程语言正确实现DBSCAN算法，DBScan是一种基于密度的聚类算法，它有一个核心点的概念：如果一个点，在距它e的范围内有不少于MinP个点，则该点就是核心点。核心和它e范围内的邻居形成一个簇。在一个簇内如果出现多个点都是核心点，则以这些核心点为中心的簇要合并。最终输出找到的簇及其数据点。-DBScan algorithm, using high-level programming language Java is implemented correctly
KMeans-master
- 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
k_means
- 这是数据挖掘中的k均值聚类算法，用java语言编写的，对于搞聚类的人士很有帮助-This is the data mining k-means clustering algorithm, using java language, for persons engaged in clustering helpful
Chameleon
- CHAMELEON CLUSTERING JAVA SOURCE CODE
Cluster
- 用Java语言实现isodata的模式识别聚类算法--Java language used to achieve the pattern recognition ISODATA clustering algorith
clusterTest
- 用java语言实现k均值聚类的代码demo，可直接运行,无需调试。-Using java language k-means clustering code demo, it can be run directly without debugging.
Kmeans-master
- 本程序使用java代码实现一个文本聚类操作，采用的方法是kmens-a simple code of text clustering using kmeans
Kmeans_medoids
- k-means和k-mediods的JAVA实现。直接读取文档数据，适用于二维数据。-k-means and k-Medoids clustering algorithm JAVA implementation. Document data read directly,suitable for two-dimensional data.
trickl-cluster-master
- java FCM program it contain classes of clustering with fuzzy c means algorithm in java -java FCM program it contain classes of clustering with fuzzy c means algorithm in java
wheats-master
- 基于网格的聚类算法，经典的clique算法的java实现，(Grid-based clustering algorithm, the classic clique algorithm java implementation,)
K-means
- Kmeans聚类算法的java实现方法，比较简洁。(Java implementation of Kmeans clustering algorithm)
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)
moa-release-2016.04
- 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
clique
- 使用java为开发语言，基于高维空间网格聚类算法CLIQUE(Use java as the development language, based on high dimensional space grid clustering algorithm CLIQUE)
Kmeans_java
- 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.)