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最小二乘曲线拟和
- 最小二乘曲线拟和，是偏最小二乘拟和聚类的关键步骤之一 -least squares curve fitting, partial least squares fitting Clustering one of the key steps
2006040602
- 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
730
- 这是一个关于数据挖掘方面的源代码，它是关于聚类算法的代码-This is a data mining on the source code, it is about the clustering algorithm code
K-junzhi
- 这是K均值聚类算法的程序,应用相当广泛的,比如在模式识别里就很重要.-This is the K-means clustering algorithm, application fairly extensive, such as pattern recognition is important to Lane.
2655143923
- 此程序是在VC环境下实现k-means均值聚类算法-this procedure is in VC environment to achieve k-means clustering algorithm Mean
2006-9-24+14-52-20.RAR
- 支持向量聚类的保存结果的源程序很小 不大-support vector clustering results of the program to preserve small little
SVC-MATLAB
- 这个是支持向量聚类机用matlab编译的主程序和部分子程序-this is clustering support vector machine Matlab Compiler part of the main program and subprogram
Face_001
- 基于形状特征的人脸分类研究,文中介绍了将模糊聚类方法用于人脸分类。 -based on the shape of the human face classification, the paper introduced the fuzzy clustering method for human face classification.
wenbenwajue1232
- 关于文本挖掘的摘要,对各种聚类算法进行了分析,是个好的东西-on Text Mining summary of the various clustering algorithms to the analysis is a good thing
k_meanslr
- 用Ｃ＋＋实现的聚类，随机数在文档中给出，通过递归调用的方式实现-with C + + realization of the clustering, random number in the document presented by the recursive call in a way
Cmean
- 用cmean方法做的模式识别聚类程序.通过测量各点之间的距离来确定类别数，以及归属于哪类-cmean methods using the clustering pattern recognition procedures. By measuring the distance between a number of categories to determine , and in the types of attribution
Kk-Means
- 次算法为数据挖掘中动态聚类算法的实现，对数据挖掘有一定的帮助-time data mining algorithms for dynamic clustering algorithm to the realization of data mining is certainly helpful
kmean
- 这是模式识别中关于k均值动态聚类算法的matlab源码-This is the pattern recognition on the k-means clustering algorithm Matlab FOSS
Model_simplification_using_vertex-clustering
- 有关CAD/CAM的资料,希望对大家有帮助
amodifiedKmeans
- An Efficient K-Means Clustering Algorithm.
NN3
- 主要是KNN（the k-nearest neighbor algorithm ）,LVQ1（learning vector quantization 1）, DSM（decision surface mapping）算法。 and a simple clustering algorithm.
clustering
- 几种数据挖掘中聚类的几种算法介绍：rock,sprint,birch（英文版的）
my_clustering
- 我自己编写的分层聚类算法，类内采用最大距离，类间采用最小距离实现-myself prepared by the Hierarchical clustering algorithm, the largest category within distance between categories of use to achieve minimum distance
testdata
- 聚类算法的训练数据文件，可导入数据库可代替数据库文件 -clustering algorithm training data and can import databases, database files can be replaced
CreateTree
- Fuzzy C means clustering