搜索资源列表
k-means
- k-means聚类算法的描述及java实现-k-means clustering algorithm to achieve the descr iption and the java
WekaChameleon
- 数据挖掘 weka 版的 chameleon 聚类算法java源码, 可直接用weka 运行-chameleon clustering algorithm source code for weka
MessageClustering
- 用java实现的应用了weka包的Kmeans方法的文本聚类程序。-a program written in java with simplekmeans in weka.jar.
DocCluster
- 实现的文档聚类的JAVA程序,适宜入门。-Implementation document clustering JAVA program, suitable for entry.
MatchingEngine
- 用java写的分类聚类算法 用java写的分类聚类算法 -The classification of writing with Java clustering algorithm
DataMining
- 用VC或Java实现K-means聚类算法,分别以迭代次数及分配不再发生变化为算法终止条件,用图片(自己选择)作为数据集,比较运行时间(画出时间与像素点的关系曲线图,因此须用多幅像素个数不同的图片进行实验),提交实验报告与源代码。-With the picture (choose your own) as data sets, more running time (draw time and pixels relations diagram, so must use many different
K-Means-JavaSwing
- java实现的K-means聚类算法,结合swing,带有界面功能,操作简单直观-java implementation of K-means clustering algorithm, combined with the swing, with interface features simple, intuitive operation
myKMedoids
- 基于KMedoids聚类算法的java实现 包含myKMedoids程序,测试数据 另包含生成数据的小程序 -java archive based on KMedoids clustering algorithm contains myKMedoids program, test data and another small program that generated datas
kmeans
- 用VC或Java实现K-means聚类算法,分别以迭代次数及分配不再发生变化为算法终止条件,用图片(自己选择)作为数据集,比较运行时间(画出时间与像素点的关系曲线图,因此须用多幅像素个数不同的图片进行实验),提交实验报告与源代码。-K-means clustering algorithm for algorithm termination conditions, with a picture (their choice) as a data set to compare the running
K_means
- 一个实现K中心聚类的算法源码,java实现-An implementation of the K-center clustering algorithm
ClusteringAnalysis
- java实现的K-Means文本聚类文章,采用英文撰写,需要源码的可以发邮件lixinle@yahoo.cn。-java realize the K-Means Text Clustering articles written in English to the source code can email lixinle@yahoo.cn.
chameleon
- JAVA实现变色龙chameleon算法,CHAMELEON是一种两阶段聚类法。第一阶段把点分成很多小的簇;第二阶段根据相近程度合并这些小的簇。-JAVA realization a chameleon chameleon algorithm, CHAMELEON clustering method is a two-stage. The first phase of the point divided into many small clusters these small clusters
sourcearesult
- 用JAVA实现k-means算法,其中聚类方法使用余弦相似度-Using JAVA k-means algorithm, clustering method using the cosine similarity
kmeans_report
- 数据挖掘kmeans图像聚类实验报告 用 VC 或 Java 实现 k-means 聚类算法, 分别以迭代次数及分配不再发生变化为算法终止条件,用图片(自己选择)作为数据集,比较运行时间(画出时间与像素点的关系曲线图,因此须用多幅像素个数不同的图片进行实验) 提交实验报告与源代码。 -Data mining to achieve the k-means clustering algorithm the kmeans image clustering experiment report wit
kmeans
- 数据挖掘kmeans图像聚类实验代码 用 VC 或 Java 实现 k-means 聚类算法, 分别以迭代次数及分配不再发生变化为算法终止条件,用图片(自己选择)作为数据集,比较运行时间(画出时间与像素点的关系曲线图,因此须用多幅像素个数不同的图片进行实验) 提交实验报告与源代码。-VC or Java k-means clustering algorithm, were no longer change the number of iterations and the allocation
K_means
- k-means聚类算法的实现,比较简单,一共有五个java文件。-k-means cluster algorithm
KMeans
- 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.
mahout-distribution-0.7-src
- 史上最新 最完整的 hadoop java 的图像聚类算法 。mahout-The history of the latest and most complete Hadoop java image clustering algorithm. mahout
DBSCAN_JAVA
- 聚类算法之DBScan(Java实现),以供此算法的初步认识!-Clustering algorithm DBSCAN (Java implementation), for an initial understanding of this algorithm!
Julei
- k平均聚类算法java Centroid.java Cluster.java DataPoint.java JCA.java-k-clustering algorithm