搜索资源列表
src
- 聚类算法实现，基于密度的聚类算法，该算法能够用于对数据进行基于密度的分类-Clustering algorithm, density-based clustering algorithm, which can be used for data classification based on density
MessageClassify
- 通过Kmeans算法实现的文本分类程序，用java写的。-A text clustering program written in java.
DocCluster
- 实现的文档聚类的JAVA程序，适宜入门。-Implementation document clustering JAVA program, suitable for entry.
wekaUT.tar
- 实现半监督聚类，针对weka框架进行扩展。-It realize semi-supervised clustering method. And it is extension of weka.
Clustering
- Apriori download for using apriori by means of java
EARQ-MANET-JAVA
- DOCUMENT OF clustering
Cluster
- clustering: demo dbscan clustering
k-means-in-java
- k-means算法的java描述，用java语言编写的k-means算法，用于聚类和分类-K-means algorithm java is described, using java language k-means algorithm, for clustering and classification
Fuzzy-C-Means
- fuzzy c means to perform clustering in java with text documents
cluster
- k means cluster for clustering analysis and code implementation
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
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
ClusteringKMeans
- this code of clustering with k-means algorithm with java-this is code of clustering with k-means algorithm with java
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
TextClustering
- 文本聚类算法包含 tfidf的实现 k-means算法的实现-Text clustering algorithm contains tfidf implementation of the k-means algorithm to achieve
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
userClustering1021
- 使用k均值对用户进行聚类，有很强的实用性。-Using k-means clustering, and practicality.
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
K-means
- kmeans算法， K-means算法是最为经典的基于划分的聚类方法，是十大经典数据挖掘算法之一。K-means算法的基本思想是：以空间中k个点为中心进行聚类，对最靠近他们的对象归类。通过迭代的方法，逐次更新各聚类中心的值，直至得到最好的聚类结果-kmeans algorithm, K-means algorithm is the most classic divide-based clustering method is one of the top ten classical data mi
multidendrograms-3.0.0-(1)
- this code gets executed by just clicking on .exe file.this is very strong helpful tool for hierarchical clustering and very easy to understand there are different types of methods . -this code gets executed by just clicking on .exe file.this is very