搜索资源列表
classifier-1.12
- 能对从Google中搜索出来的文本进行聚类,提供了Java包,及调用源代码.-can right from the Google Search for the text clustering, a Java package, source code and call.
h2
- 最新纯JAVA数据库，支持集群，支持私有内存数据库，-latest pure Java database, clustering support, the private support memory database
Weka-3-2
- Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clusteri
JAVAclustering
- JAVA 本程序所实现的功能为对数据进行无监督的学习，即聚类算法-JAVA the procedures for the functions of data unsupervised learning, clustering algorithm
fcluster-1[1].2g.tar
- 模糊聚类的算法实现程序，用java实现，源代码-fuzzy clustering algorithm procedures, using java achieved, the source code
LongestDistance
- java实现层次聚类,最远距离算法,具有良好的程序结构,具有通用性-java achieve hierarchical clustering, the most remote algorithm has a good program structure is universal
ShortestDistance
- java实现层次聚类最小距离算法,代码结构良好,具有复用性.-java achieve minimum distance hierarchical clustering algorithm, code structure and has a good reusability.
KNearest
- JAVA实现基于试探的未知类别聚类算法.具有良好的代码风格,便于复用-JAVA based probe the unknown type of clustering algorithm. The code has good style, ease of reuse
DBSCAN_JAVA
- DBSCAN算法的JAVA实现,可以在D:\\使用text.txt数据文件来进行DBSCAN聚类-DBSCAN algorithm JAVA, the D : \\ text.txt data files used for clustering DBSCAN
kmeans_java
- k-means聚类算法的java代码实现,良好的代码风格，适合扩充-k-means clustering algorithm to achieve the java code, the code of good style, suitable for expansion
weka
- :<<数据挖掘--实用机器学习技术及java实现>>一书的配套源程序，结合数据挖掘和机器学习的知识,以java语言实现了具有代表性的各类数据挖掘方法.例如:classifier中的ZeroR.OneR.NaiveBayes.DecisionTable.IBK.C45,还有聚类,数据预处理等-: lt; Lt; Data Mining -- Practical Machine Learning Technology and java achieve gt; Gt; A ma
MyTest
- 利用wvtool实现文本分类的实例程序,自己写的，功能简单-Text Classification using wvtool instances of programs to achieve their own writing, feature a simple
quartz-1.6.0
- Quartz is a full-featured, open source job scheduling system that can be integrated with, or used along side virtually any J2EE or J2SE application - from the smallest stand-alone application to the largest e-commerce system. Quartz can be used to cr
Large-scale-text-clustering-master
- java 实现文本聚类 java 实现文本聚类 -the code of text clustering the code of text clustering the code of text clustering
attachments
- K Means clustering with multiple attributes taken differently
mwiry
- Sampling from a priori probability, calculate the weight, Can dynamically adjust the parameters of the operating environment, Using MATLAB dynamic clustering or iterative self-organizing data analysis.
聚类算法java实现
- 学校期间练习的小程序，聚类算法，供初学者使用(During the school practice of small procedures, clustering algorithm for beginners to use)
CLIQUE
- CLIQUE（Clustering In QUEst)是一种简单的基于网格的聚类方法，用于发现子空间中基于密度的簇。CLIQUE把每个维划分成不重叠的区间，从而把数据对象的整个嵌入空间划分成单元。它使用一个密度阈值识别稠密单元和稀疏单元。一个单元是稠密的，如果映射到它的对象数超过该密度阈值。(CLIQUE (Clustering In QUEst) is a simple grid based clustering method for the discovery of clusters bas
Kmeans
- 算法思想：提取文档的TF/IDF权重，然后用余弦定理计算两个多维向量的距离来计算两篇文档的相似度，用标准的k-means算法就可以实现文本聚类。源码为java实现(Algorithm idea: extract the TF/IDF weight of the document, then calculate the distance between two multidimensional vectors by cosine theorem, calculate the similarity
api-cluster
- 用java写的层次聚类，其中距离函数是complete（即最大值优先）(Cluster(agglomerative clustering, complete linkage method) to analyze API usage.)