搜索资源列表
mbclust
- 基于模型聚类算法的matlab实现 This does the entire MB Clustering given a set of data. It only does the 4 basic models, unequal-unknown priors. It returns the BESTMODEL based on the highest BIC.-model-based clustering algorithm
cluto-2.1.1.tar
- 该软件是基于C均值算法的聚类软件，能对数值型数据集进行合理的聚类。-The software is based on the C- Means clustering algorithm software, capable of numerical data sets reasonable clustering.
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.
文本聚类的文档.tar
- 文本聚类的文档-text of the document clustering
一种实现中文HTML文档自动聚类的方法
- 让你的检索更精确——一种实现中文HTML文档自动聚类的方法-let you search more accurate-- A Chinese automatic HTML document clustering methods
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
KMEANS
- 经典统计方法：k-means聚类分析源程序-classical statistical methods : k-means clustering source
colorseg
- 利用matlab实现彩色图像的分割。算法主要是利用聚类算法。-using Matlab color image segmentation. This algorithm is to use clustering algorithm.
K-MeansCluster
- K-Means是聚类分析中重要的一种方法，此源码是K-Means聚类分析的C语言实现。-K- Means clustering analysis is the most important way, this source is K- Means clustering analysis of the C language.
clustering
- matlab聚类分析工具箱，很好用。大家可以试一试-Matlab Toolbox cluster analysis, is useful. We can try
dbscan-C++
- 采用C++语言编写的，用于聚类相关方面的dbscan算法源程序，希望大家共同提高-using the C language for the relevant aspects of clustering algorithm source dbscan hope that we can raise! !
Incremental_Document_Clustering
- 一个增量文本聚类的算法。 参考文献： Wai-chiu Wong, Ada Wai-chee Fu, Incremental Document Clustering for Web Page Classification. -an incremental version of the clustering algorithm. References : Wai-chiu Wong, Ada Wai-CHEE Fu, Increm
qwrwqr
- 源码是有关模式识别与图像处理的，以及人工智能中的模糊算法，聚类算法 。-source of the pattern recognition and image processing, artificial intelligence and fuzzy algorithm, clustering algorithms.
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- 基于遗传算法的动态模糊聚类 基于遗传算法的动态模糊聚类-dynamic fuzzy clustering based on genetic algorithm dynamic fuzzy clustering
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- isodata聚类算法，对于图像处理中的聚类问题高效 -isodata clustering algorithm for image processing and efficient clustering problem
NeuralNetworkSourceCode
- 神经网络源程序代码，有常用的BackProp算法,行程编码算法RCL,动态聚类算法,LVQ(学习矢量量化)算法等等，自己看吧-neural network source code, a common BackProp algorithm, RCL itinerary coding algorithm, dynamic clustering algorithm, LVQ (LVQ) algorithm, etc., and see the
DBSCAN&Rtree
- Form1.cs是应用聚类算法DBSCAN (Density-Based Spatical Clustering of Application with Noise)的示例，可以通过两个参数EPS和MinPts调节聚类。DBSCAN.cs是全部算法的实现文件，聚类算法的进一步信息请参考“数据挖掘”或者相关书籍。聚类示例数据来自于sxdb.mdb，一个Access数据库。-Form1.cs clustering algorithm is
fcmdemo
- FCMDEMO displays a GUI window to let you try out various parameters in fuzzy c-means clustering for 2-D data. You can choose the data set and clustering number from the GUI buttons at right, and then click "Star
Mean-ShiftClustering
- mean shift算法在聚类中的matlab实现-mean shift clustering algorithm to achieve the Matlab
pixel_region_grow
- 像素聚类区域成长法－－ 顾名思义，此方法从一个种子像素开始，通过如平均灰度，组织纹理及色彩等性质的判断，将具有类似性质的像素逐一纳入所考虑的区域中，使此区域由种子逐渐成长成一个性质相似的图像区块。-pixel clustering method regional growth-- the name implies, this method from a seed pixels, through such as average gra