搜索资源列表
k-means
- k means clustering algorithm implementation in Java
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
METODE-HIRARKI-DAN-NEURAL-NETWORK
- This program to clustering skin based oon colour included white brown or black skin with java and naural network methdo
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.
dsquartz-2.1.3.tar
- Quartz是OpenSymphony开源组织在Job scheduling领域又一个开源项目,它可以与J2EE与J2SE应用程序相结合也可以单独使用。Quartz可以用来创建简单或为运行十个,百个,甚至是好几万个Jobs这样复杂的程序。Jobs可以做成标准的Java组件或 EJBs。Quartz的最新版本为Quartz 2.2.1。-Quartz is a richly featured, open source job scheduling library that can be integ
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
HierarchicalClustering
- Hierarchical Clustering for 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)
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.
files
- The four codes are matlab codes 1) Diversity schemes wireless communication 2) Implement Spatial Multiplexing for MIMO System. 3)Reed Solomon RS code for a given system. 4) Clustering using Vector Quantization neural networks The fifth code
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
fuzzy-code
- here i am representing a Fuzzy C mean clustering algorithm java source code
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
DBScan
- dbscan in java .. compressed in .rar ..full implementation of density based clustering
Hello
- 聚类算法的Java实现代码(包括运行文件)-Clustering Algorithm Java implementation code