搜索资源列表
kemanstuxiang
- 利用K均值聚类算法进行图像分类的基本方法,将模式识别方法与图像处理技术相结合,-Using K means clustering algorithm to carry out the basic method of image classification, the pattern recognition method and image processing technology,
cmohu
- C均值聚类算法的MATLAB程序,在众多模糊聚类算法中,模糊C-均值( FCM) 算法应用最广泛且较成功-C mean clustering algorithm MATLAB procedures, in many fuzzy clustering algorithm, fuzzy C- means (FCM) algorithm is the most widely used and successful
EXP4
- 我们的模式识别大作业程序:应用C/C++语言编程实现这三种聚类方法,即均值聚类、最小距离聚类、最大距离聚类。-Our big job pattern recognition procedures: application C/C++ language programming clustering of these three methods, namely means clustering, the minimum distance clustering, the maximum distanc
8357
- 基于C-MEANS的聚类模糊算法c程序,可应用于载机编队实现对多目标的攻击任务的分配-Based on C-MEANS fuzzy clustering algorithm c procedures can be applied to the carrier aircraft fleet to achieve the task assigned to attack multiple targets of
0000face
- 针对光照变化对人脸检测及人眼定位的影响 , 提出一种基于肤色模型的人脸检测与人 眼定位方法 . 先对图像进行预处理 , 减少图像中的噪声 ; 再将 RGB 颜色空间转化到具有良好 肤色聚类特性的 YCbCr 色彩空间 , 利用 Gauss 模型进行肤色建模 ; 最后检测出人脸区域并确 定人眼位置 . -The influence of illumination changes on human fa
hhh
- 基于密度的的聚类算法DBSCAN算法-K-means clustering algorithm based on the
leachsimulation
- 无线传感器网络分簇路由算法,仿真效果很好哦-Wireless sensor network clustering routing algorithm, simulation results oh well
SEP
- 无线传感器网络分簇路由算法,仿真效果很好哦-Wireless sensor network clustering routing algorithm, simulation results oh well
DBSCAN
- Density-based spatial clustering of applications with noise (DBSCAN) is a data clustering algorithm.
CAN-code
- Clustering and Projected Clustering with Adaptive Neighbors -We proposed a CAN clustering algorithm with adaptive neighbors, the learned similarity matrix can be directly used for clustering, without having to perform K-means or other discretizatio
subclust
- 减法聚类函数,可以实现自动聚类,不需要设定聚类个数-Subtractive clustering function, can automatically clustering, do not need to set the number of clusters
cluster_analysis
- 编程实现聚类分析算法,利用Matlab软件对系统聚类法的实现,-Programming cluster analysis algorithm, using Matlab software on the system clustering method of implementation,
KmeansPED
- 基于ED的kmeans聚类算法,开发环境为matlab-Kmeans clustering algorithm based on ED,The development environment of matlab
KmeansPDTW
- 基于DTW的kmeans聚类算法,开发环境为matlab-Kmeans clustering algorithm based on DTW,The development environment of matlab
kmeans
- kmans的c语言代码,内有实例,还有教程,亲测可用,能够进行矢量聚类。-C kmans language code, there are examples, as there are tutorials, pro test available, to carry out the vector clustering.
statistical-analysis
- 随机模拟和统计分析 max,min - 最大,最小值 sum - 求和 mean - 均值 std - 标准差 sort - 排序(升序) sortrows - 按某一列排序(升序) rand - [0,1]区间均匀分布随机数 randn - 标准正态分布随机数 randperm - 1...n 随机排列 regress - 线性回归 classify - 统计聚类 *trim - 坏数据祛除 *specrnd -
k-means
- k均值聚类算法,模式识别大作业,适用于数据挖掘学习-k-means clustering algorithm, pattern recognition big job learning for data mining
DDEEC
- DEVELOPED DISTRIBUTED ENERGY EFFICIENT CLUSTERING ALGORITHM FOR WIRELESS SENSOR NETWORKS
DEEC
- DISTRIBUTED ENERGY EFFICIENT CLUSTERING ALGORITHM FOR WIRELESS SENSOR NETWORKS
EDEEC
- ENHANCED DISTRIBUTED ENERGY EFFICIENT CLUSTERING ALGORITHM FOR WIRELESS SENSOR NETWORKS