搜索资源列表
k-means-and-cure-in-Iris-Data-Set
- 聚类算法实验,采用两种不同类型的聚类算法:基于划分的聚类方法k-means和基于层次的聚类方法CURE,采用的数据集是:Iris Data Set,数据集中共包含150组数据信息。 材料中有详细的说明文档,具体介绍了算法实现的细节,很容易理解-Clustering algorithm experiment, using two different types of clustering algorithm: Partition-based clustering method k-means
ImageClustering.rar
- 本程序实现了K均值(HCM)算法,ISODATA算法,模糊C均值(FCM),模糊阈值法等对遥感影像的分割。,This program implements K means (HCM) algorithm, ISODATA algorithm, fuzzy C means (FCM), fuzzy threshold law of remote sensing image segmentation.
KMeansJava
- 利用Java实现的K-均值算法,K-Mean 分群法是一种分割式分群方法,其主要目标是要在大量高纬的资料点中找出 具有代表性的资料点;这些资料点可以称为群中心,代表点;然后再根据这些群中心,进行后续的处理,可用于数据挖掘中的聚类分析-Java implementation using K-means algorithm, K-Mean grouping method is a fragmented grouping method, whose main goal is to a large nu
kmeans
- 基于matlab的图像k均值算法,实现对一副彩色图像进行分割。-Matlab image based on k means algorithm, to realize a color image segmentation.
k-means-segamen-method
- 本实验基于K-Means聚类算法思想实现了字符分割,因为车牌规定是7位的,所以K取7。另外本实验对K-Means算法进行了改进,充分考虑了初始点的设置及迭代结束条件。实验结果证明这种改进的K-Means算法实现车牌字符分割是快速、有效的。-In this study, K-Means clustering algorithm based on the ideology of the character segmentation, because the license plate require
聚类K-Medoids算法
- 聚类K-Medoids算法。文件里面包含了详细的程序说明和示例。-K-Medoids clustering algorithm.The file contains a detailed descr iption of the procedures and examples.
PSO_K
- 毕设题目,基于K均值的PSO聚类算法,共享了。-Bi-based topic of the PSO-based K-means clustering algorithm, shared.
demo
- 实现数据挖掘的几个算法,包括模糊聚类,K均值,以及K近邻等聚类算法-Some of the implementation of data mining algorithms, including fuzzy clustering, K-means, as well as neighbors, such as clustering algorithm K
kmeans
- k均值图像分割,经典的图像分割方法,算法简单,效果好。-k-means image segmentation
k-means-iris
- 针对著名的UCI机器学习数据库中的iris data的kmeans聚类分析程序,具有代表性-For the well-known UCI machine learning repository of the iris data of kmeans cluster analysis procedure, a representative
pc
- 利用相位一致性提取图像边缘,K-means聚类后区域生长进行图像分割,附参考论文。-Using phase coherence image edge extraction, K-means clustering image after region growing segmentation, attached reference paper.
KMeansClusterConsole
- K均值聚类算法,取前k个点为初始聚类中心,然后进行迭代聚类-K means clustering algorithm, fetch the first k points as initial cluster centers, then the iterative clustering
kmean
- 包括K-均值聚类算法的思想介绍,kmeans的MATLAB代码,c语言代码、c++代码。-Including the K-means clustering algorithm introduced the idea, kmeans of MATLAB code, c language code, c++ code.
KMeans
- 用java实现的k means算法,搞过数据挖掘的人应该都知道的~-k means algorithm implement in java, the basic method of clustering in data mining
k-mean k均值聚类程序
- k均值聚类程序,虽然matlab中也有自带的,但是这个速度不错。-program for k means used for cluster
k-means
- K-means均值聚类算法,用C语言实现 k-均值聚类算法 -Means K-means clustering algorithm, using C language realization of k-means clustering algorithm
K_means
- 对两类样本,进行K均值分类,K为2,最后将两类样本用不同的形状标出-Two kinds of samples for K means classification, K 2, the last two samples will be marked with a different shape
K-means
- K-means K聚类算法的C++语言实现,里面附有使用文档和实例,在VS2005上实现的-K-means K clustering algorithm C++ language, which accompanied with documentation and examples implemented on the VS2005
k-means
- k-均值聚类算法c语言版用于划分聚类,适合用于数据挖掘之中-k-means clustering algorithm c language version
TDIDF_Demo
- 基于k-means的文本聚类程序实现,希望对大家有帮助!-Based on the k-means clustering procedures for the realization of the text, I hope all of you help!