搜索资源列表
动态聚类算法
- 实现动态聚类,对大批量数据进行分类,本例程包含样本数据,便于学习理解
2b509aabc32f4a3be87b452a94226f45
- 结合模糊C均值聚类算法与水平集方法的图像分割代码,分割效果良好。(The image segmentation code based on fuzzy c-means clustering algorithm and level set method has a good segmentation effect.)
众包问题(聚类算法样例)
- 解决多种平台在人口密度分派任务的定价问题,提高任务完成率(Solve the pricing problem of multi-platform assignment tasks in population density and improve task completion rate)
nmi
- matlab版本的标准互信息函数,用于聚类指标的计算,可直接使用(normalized mutual information function for clusering performance evaluation (MATLAB version))
som
- 随机产生5类二维坐标系中的数,使用SOM网络进行无监督聚类,将产生的随机数自动聚成五类,并将结果用图像直接显示出来,生成训练好的网络权值(Five kinds of random numbers in two-dimensional coordinate system are generated randomly, and unsupervised clustering is carried out using SOM network. The random numbers generated
30号作业
- python实现密度峰值聚类 及相关测试数据机(Python realizes density peak clustering)
dbdemo
- 基于密度的聚类算法----DBSCAN算法的代码实现python(Density-based clustering algorithm----Code Implementation of DBSCAN Algorithms)
dbscan
- 利用该程序可以实现大数据下的三维点云及二维数据的密度聚类,并对聚类后的结果进行准确提取(Using this program, the density clustering of three-dimensional point clouds and two-dimensional data can be realized, and the clustered results can be accurately extracted.)
meanshift_filter
- 利用meanshift算法对图像进行滤波。meanshift可用于滤波、追踪、聚类、分割等(The image is filtered by means of shift algorithm. Meannshit can be used for filtering, tracking, clustering, segmentation, etc.)
kmeans
- kmeans聚类代码,对给定数据集进行聚类处理(Clustering code to cluster a given data set)
数据集
- 本文件为常见聚类算法测试数据集 ,UCI上常用的聚类算法数据集(This document is a common clustering algorithm test data set.)
automatic_image_segement
- 本文以k-means算法为背景,引入信息熵相关知识,从而实现全自动分割图像。然而在利用混合高斯模型对图像进行数据分析时,会发生一定的过拟合现象,导致我们得不到预期的聚类数目。本文设计合理的合并准则,令模型简化,有效地消除过拟合现象,使得最后得到的聚类数目与预期符合。,设计合理的准则改进了图像的全自动分割方法,使得分割结果更加优化(In this paper, k-means algorithm is used as the background, and information entropy
KMEANS
- C++编程实现数据挖掘中的聚类分析 使用K均值算法(C++ programming to achieve data mining clustering analysis using k-means algorithm)
61549826Hierarchical
- 基于电力系统节点无功电压控制灵敏度,电气距离的聚类分析(Cluster Analysis of Reactive Power and Voltage Control Sensitivity and Electrical Distance of Power System Nodes)
kmeans聚类
- kmeans聚类 快速聚类方法,可以帮助将数据分为几个大类,分别处理,找出规律。
04825210PCA1
- 对碰撞信号特征进行降维和聚类分析,提高分类精度(Reducing dimension and clustering analysis of collision signal features to improve classification accuracy)
k-means-for-iris
- 利用K均值聚类对鸢尾花样本进行聚类的matlab程序,包含源代码、样本数据、聚类结果(The matlab program of clustering iris samples by K-means clustering, including source code, sample data and clustering results)
Hand-gesture-recognition--master.zip
- 关于图像关键帧提取的源代码,利用图像熵和密度聚类算法提取
DBSCAN
- 名称:DBSCAN经典聚类算法 功能:聚类数据集 类别:密度聚类算法(Name: DBSCAN Classic Clustering Algorithm Function: Clustering dataset Category: Density Clustering Algorithm)
Matlabkmeans聚类分割GUI,分割聚类数可以输入
- 该课题为基于kmeans的聚类分割,输入一张彩色图像,可以选择需要分割成多少类,就会以不同颜色区分不同的块,带有GUI界面,操作丰富。(This topic is based on Clustering Segmentation of kmeans. Input a color image, you can choose how many categories you need to segment, and then different blocks will be distinguished