搜索资源列表
kmeans_cluster聚类算法的实现
- 数据挖掘中k-means聚类算法的实现源代码-clustering algorithm source code in data mining
K-均值聚类算法C++编程
- K-均值聚类算法的编程实现。包括逐点聚类和批处理聚类。K-均值聚类的的时间复杂度是n*k*m,其中n为样本数,k为类别数,m为样本维数。这个时间复杂度是相当客观的。因为如果用每秒10亿次的计算机对50个样本采用穷举法分两类,寻找最优,列举一遍约66.7天,分成3类,则要约3500万年。针对算法局部最优的缺点,本人正在编制模拟退火程序进行改进。希望及早奉给大家,倾听高手教诲。-K-means clustering algorithm pr
以K-均值聚类结果为初始解的模拟退火聚类
- 由于K-均值聚类算法局部最优的特点,而模拟退火算法理论上具有全局最优的特点。因此,用模拟退火算法对聚类进行了改进。20组聚类仿真表明,平均每次对K结果值改进8次左右,效果显著。下一步工作:实际上在高温区随机生成邻域是个组合爆炸问题(见本人上载软件‘k-均值聚类算法’所述),高温跳出局部解的概率几乎为0,因此正考虑采用凸包约束进行模拟聚类,相关工作正在进行。很快将奉献给各位朋友。-as K-means clustering algorit
fuzme_matlab
- k-means算法(matlab编写),其中包含测试数据集,可以使用.-This is a k-means algorithm(in matlab) contains data set which can be used
KMEANS01
- This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given
K均值
- 本程序通过k均值算法对两类进行分类。通过任意选择初始点,由k均值很快找到两类的中心点-the procedure k means algorithm to classify two types. Through arbitrary choice initial point, k Mean quickly found two focal point
K-Means聚类
- k-means聚类算法源码。kmeans是一种常用的分割算法,简单而又高效。-k-means clustering algorithm source code. Kmeans is a common segmentation algorithm is simple but efficient.
练习一源程序
- K-means一个用C++实现的聚类算法 -K-C means to achieve a clustering algorithm
k-meansgaijin
- 数据挖掘中的一个聚类算法k-means。-data mining clustering algorithm of a k-means.
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.
k-meanss
- 模式识别作业,C程序编写的K-均值算法.-pattern recognition work, the C programming K-means algorithm.
K-Mean1
- 编写K-均值聚类算法程序,对下图所示数据进行聚类分析(选k=2)-prepare K-means clustering algorithm, the data shown in the chart below cluster analysis (EAC k = 2)
fk-means
- 数据挖掘中模糊k均值算法,matlab工具编写。-data mining fuzzy k-means algorithm, Matlab tool for the preparation.
VCk-means
- VC k-means聚类算法源码。kmeans是一种常用的分割算法,简单而又高效-VC k-means clustering algorithm source code. Kmeans is a common segmentation algorithm, simple and efficient
K-Means-Algorithm
- k平均动态聚类算法源代码.希望对大家有所帮助.-k average dynamic clustering algorithm source code. We want to help.
anotherKMEANS
- k-means算法-k-means algorithm
k-meanssom
- k-means som 层次聚类 算法比较-k-means clustering algorithm level som comparison
k--junzhi
- k均值算法是模式识别的聚分类问题,这是用C实现其算法以下是程序源代码-k-means algorithm is pattern recognition Poly classification, which is used to achieve its C Following is the algorithm source code
UseMatlabandCtorealizeKmeans
- 这是一个用c和matlab编写的程序,用于实现k-means算法-This is a matlab with c and the preparation of the procedures used to implement k-means algorithm
Kmeans
- 在Visual C++.NET2003平台下实现聚类算法中的K-MEANS算法,对随机生成的点进行了聚类。使用单文档结构,并将聚类结果显示出来。-In the Visual C++. NET2003 platform clustering algorithm to achieve the K-MEANS algorithm, on randomly generated points in the cluster. Use a singl