搜索资源列表
DBScan
- dbscan in java .. compressed in .rar ..full implementation of density based 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
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.
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
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.)