搜索资源列表
FUZZCLUST
- fuzzy clustering and data analysis toolbox
techvada
- clustering algorithm in .NET ofr data mining
clustersBOX
- 一个很有用的clustering工具箱,用于数据聚类分析-Clustering a useful tool for data clustering analysis
KMEANS
- 改文件是用C++来实现kmeans的算法，学过模式识别的人都知道这个算法的，是用来实现数据的聚类-Is used to document C++ to achieve kmeans algorithms, pattern recognition to learn the people know this algorithm is used for data clustering
k-centers
- 不同于k均值聚类的k中心聚类，2007年SCIENCE文章Clustering by Passing Messages Between Data Points 中的方法-Unlike k-means clustering of the k cluster centers, in 2007 SCIENCE article, Clustering by Passing Messages Between Data Points of the Method
FuzzyClusteringToolbox
- 使用matlab实现的各种聚类算法,其中包括具体例子进行详细说明。-The purpose of the development of this toolbox was to compile a continuously extensible, standard tool, which is useful for any MATLAB user for one s aim. In Chapter 1 of the downloadable related documentation on
k1
- clustering the data for data mining
KAV
- KAV是利用Visual C++ 6.0编写的一个小程序，能实现对特定数据结果的文本数据进行聚类分析，所使用的聚类方法是K均值。 -KAV is the use of Visual C++ 6.0 to prepare a small procedure to achieve the outcome of specific data on the text data clustering analysis, the use of the K-means clustering method.
fanny
- 模糊分类是目前比较流行的用于数据挖掘的分类算法，而Fanny是其中一种基于FCM算法,用于实现模糊分类的应用程序-Fuzzy clustering is a popular method for data clustering and classification in data mining, Fanny program realizes one of FCM algorithms, to achieve the application of fuzzy clustering
clara
- CLARA是基于k中心点的一种划分方法的实现，区别于别的划分方法，Clara是用于大规模分类运用方法的简称，可以实现对大规模数据的分类-CLARA(abbreviated from clustering large applications), is based on the k-medoid appraoch, which can be useful in clustering large data sets.
bayes
- 数据挖掘聚类算法：bayes源代码,使用JAVA语言实现-data mining clustering algorithm
SimpleKMeans
- 数据挖掘聚类算法：SimpleKMeans源代码，采用JAVA语言编程实现-Clustering Algorithm of Data Mining: SimpleKMeans source code, the use of JAVA programming language
jain99data.pdf
- 数据聚类的综述-a review of data clustering
neib
- 资料分群与样式辨认中关于最近邻法则加速方法介绍-Data Clustering and Pattern Recognition
CA
- CA算法可以将数量型属性划分成若干个优化的区间，它综合了分层聚类于划分聚类的优点，对于给定的不同的初始类个数，CA算法能随着迭代过程的不断进展改变类的数目，一些竞争力差的类即类的基数小于给定阙值的类将在迭代过程中不断消失，最终得到能够有效体现数据实际分布情况的优化聚类个数。-CA algorithm for quantitative attributes can be divided into a number of the interval optimization, hierarchical
kmeans
- k means clustering algorithm used for clustering a spread data
KlustaKwik_R1-8
- KlustaKwik is an open-source C++ program for automatic clustering of continuous data into a mixture of Gaussians. The program was originally developed for sorting of neuronal action potentials, but can be applied to any sort of data.
agglom
- data mining agglomerative clustering
rnsc
- Restricted Neighborhood Search Cluster Algorithm, data mining ,聚类分析-Restricted Neighborhood Search Cluster Algorithm, data mining, clustering analysis
Java
- 数据挖掘 统计学习 分类聚类离散点分布插件小程序-Statistical learning data mining classification clustering distribution of discrete points applet plug-ins