搜索资源列表
k-Means
- k-means算法的java实现，自动聚类算法。是基于距离来进行聚类-k-means algorithm to achieve the java automatic clustering algorithm. Based on the distance to the cluster
kmeansInJava
- 使用Java实现了kmeans算法，对给定点阵进行聚类-implementing k-means algorithm using java to clustering the given points
NMI
- NMI标准互信息，JAVA实现，用于重叠社区或是其他聚类评价-normal mutual information，using java language
Kmeans
- 利用java实现了k-means聚类，数据集是由Math.random函数产生的。-K-means clustering was achieved with Java.The data set was created by Math.random.
kmeans
- 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.
Kmeansone
- Kmeans 算法的基本JAVA实现。可以实现聚类的功能。-kmeans ALGORITHM using JAVA
My_Kmeans
- java写的k-means，随机选择聚类中心-the realizationg of K-means clustering algotithm based on Java,with random selection of clustering centers
textcluster
- java版的k-means算法，实现文本聚类功能-the k-means algorithm in java
Cluster
- 聚类算法的java实现，包括K-means（基于划分聚类），DBSCAN(基于密度聚类）-Clustering algorithm ， achieved by java, including K-means (based on the division clustering), DBSCAN (density-based clustering)
Apriori
- Apriori聚类算法java实现,输入不同条目，输出频繁项集合关联规则-Apriori cluster algorithm，output frequent item sets
Fuzzy-logic-evaluation
- 模糊逻辑分析是人工智能的典型工具，通过理论分析，作者给出了一个基于java的模糊聚类算法，以考察司机的行为并作出评价-Fuzzy logic is a typical tool for analysis of artificial intelligence, theoretical analysis, the author gives a java-based fuzzy clustering algorithm to study driver behavior and to uate
LDBSCAN
- 数据挖掘聚类算法java代码。包含LDBSCAN算法源码。-Data mining clustering algorithm java code. It contains LDBSCAN algorithm source code.
Kmeans
- 数据挖掘聚类算法java代码。包含Kmeans算法源码。-Data mining clustering algorithm java code. Kmeans algorithm source code included.
JBIRCH
- 本代码是关于数据挖掘的层次聚类算法的java编程实例，请勿用于商业用途上-The code is java programming examples on data mining hierarchical clustering algorithm, not for commercial use
JBIRCH-src
- 本代码是关于数据挖掘的层次聚类算法的JAVA编程实例，请勿用于商业用途上-The code is JAVA programming examples on data mining hierarchical clustering algorithm, not for commercial use
KMeans2
- kmeans算法的Java实现。算法接受参数 k 然后将事先输入的n个数据对象划分为 k个聚类以便使得所获得的聚类满足:同一聚类中的对象相似度较高 而不同聚类中的对象相似度较小。-k means algorithm is implemented in Java. Receiving algorithm parameter k and n data objects entered beforehand into k clusters in order to satisfy such cluste
dbscan
- 基于DBSCAN聚类算法的java源码，可以用于dbscan聚类-DBSCAN clustering algorithm based on the Java source code, can be used for DBSCAN clustering
Hello
- 聚类算法的Java实现代码（包括运行文件）-Clustering Algorithm Java implementation code
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