搜索资源列表
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
k
- c++编写的模式识别k均值算法-c k prepared by the average pattern recognition algorithm
k-means
- 数据挖掘中的k均值算法，应该属于聚类分析的，c语言版。
k-means
- 这是K均值算法,采用c语言编写,K的取值为2,大家可以改变K的值来进行测试
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 programming. Point by point, inc
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.
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.
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
Kmeans_FCM
- java写的模糊c均值聚类算法和k均值聚类算法-fuzzy c means clustering algorithm and K means cluster in java
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
kmeans
- 基于C++的模糊k均值算法，采用的集成软件开发环境为vc-It is the codes of Fuzzy k-means,
k-means_clustering
- k means clustering k-均值聚类算法c语言版-k means clustering c k-均值聚类算法c语言版
K_Mean
- c++k均值算法，简单的示例程度，对K-mean学习有帮组-c++ k means algorithm, a simple example of the extent of the K-mean learning to help groups
proj10-01
- 在试验中编写程序实现了K均值聚类算法,K均值聚类的原理是：在训练样本中找到C个聚类中心，每个聚类中心代表一个类的中心。然后将样本归类到与其最近的聚类中心的那一类。 C的选择是通过先验知识或经验选取的。聚类中心是通过算法迭代求得的。-In the test preparation process to achieve a K means clustering algorithm, K means clustering principle is: in the training samples to
ClusteringStatic
- 聚类分析算法,k均值聚类分析算法c++源码-clustering statics
k_means_cluster
- k均值聚类算法 ，c语言实现 了基于均值的聚类分析，同时增加了多维向量分析功能，使得聚类的收敛速度更快。-k means clustering algorithm, c language implemented based on the mean cluster analysis, while increasing the multi-dimensional vector analysis functions, making the convergence faster clustering.
K-means-cSharp--code
- 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-K-means algorithm is pattern recognition of poly classification problem, this is written in c# realize its algorithm
KMEANS
- k均值算法,C++文件，读入txt文件的方式实现-k means algorithm, C++ files, read txt file means to achieve
kind
- candy边缘检测，彩色图像的边缘检测，K均值聚类，sobel边缘检测（C）其他是matlab程序-candy edge detection, color image edge detection, K-means clustering, sobel edge detection (C) the other is a matlab program
常用聚类
- 常用聚类的MATLAB程序，调试均可用。包含k均值聚类、模糊C均值聚类、模糊减法聚类、谱系聚类(Common clustering MATLAB program, debugging are available. Including k-means clustering, fuzzy C-means clustering, fuzzy subtraction clustering, pedigree clustering)