搜索资源列表
segmentation
- Segmentation with k means clustering and mean shift
kohonen
- kohonen网络的聚类算法—网络入侵聚类-Clustering algorithm kohonen Network- Network intrusion Clustering
kmean-juleisuanfa
- 一个kmean聚类算法的实现，一个很好的示例，仅供大家一起参考和学习-K achieve a mean clustering algorithm, a good example, for your reference and learning together
faomei_V7.4
- MinkowskiMethod算法 ,基于欧几里得距离的聚类分析，可以动态调节运行环境的参数。- MinkowskiMethod algorithm, Clustering analysis based on Euclidean distance, Can dynamically adjust the parameters of the operating environment.
k-medoids
- Code with matlab of kmedoids clustering-Code with matlab of kmedoids clustering....
junmei_v26
- 基于欧几里得距离的聚类分析，最大似然（ML）准则和最大后验概率（MAP）准则，这个有中文注释，看得明白。- Clustering analysis based on Euclidean distance, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, The Chinese have a comment, understand it.
penlang
- 阐述了负荷预测的应用研究,包含位置式PID算法、积分分离式PID，可实现对二维数据的聚类。- It describes the application of load forecasting, It contains positional PID algorithm, integral separate PID, Can realize the two-dimensional data clustering.
kmeas_cPP
- K-means聚类算法 依赖 Eigen和opencv-K-means clustering algorithm relies Eigen and opencv
Clustering-PCA
- 主成分分析（Principal Component Analysis，PCA）， 是一种统计方法。通过正交变换将一组可能存在相关性的变量转换为一组线性不相关的变量，转换后的这组变量叫主成分。-Principal component analysis is a statistical method. A set of variables that may be related to a set of variables that may be correlated to a set of vari
Demo
- 该程序是利用MFC画出一个坐标系，然后随机的在坐标系中生成一些点，利用K-Means对这些点进行聚类(由于点的聚类是由效果不好，我自动生成的点，但是k-means算法是有的，使用者可以在此基础上进行修改)-The program is using MFC to draw out a coordinate system and random in the coordinate generation at some point, using k-means clustering (due to cl
DBSCAN
- 数据挖掘 （DBSCAN）密度聚类 ,包括聚类数据，文档描述，源代码-(DBSCAN) density clustering data mining, including data clustering, a document descr iption, the source code
MFCVideo(1)
- 先用背景差分法进行运动目标的检测，然后求出运动目标的质心，然后进行聚类。-First with the background subtraction method to detect moving targets, moving targets and then find the center of mass and clustering.
jangtei_v27
- 利用matlab针对图像进行马氏距离计算 ,用MATLAB实现动态聚类或迭代自组织数据分析，有信道编码，调制，信道估计等。- Using matlab to calculate the Mahalanobis distance for the image, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Channel coding, modulation, channel estimatio
mengbai
- 有较好的参考价值，基于K均值的PSO聚类算法,MIMO OFDM matlab仿真。- There are good reference value, K-means clustering algorithm based on the PSO, MIMO OFDM matlab simulation.
taokui_v44
- 基于K均值的PSO聚类算法,高斯白噪声的生成程序，迭代自组织数据分析。- K-means clustering algorithm based on the PSO, Gaussian white noise generator, Iterative self-organizing data analysis.
geiqui_v53
- 比较了软阈值，硬阈值及当今各种阈值计算方法,基于K均值的PSO聚类算法,分析了该信号的时域、频域、倒谱，循环谱等。- Comparison of soft threshold and hard threshold and today various threshold calculation method, K-means clustering algorithm based on the PSO, Analysis of the signal time domain, frequency do
hunbun
- 通过反复训练模板能有较高的识别率，STM32制作的MP3的全部资料，可实现对二维数据的聚类。- Through repeated training utlMWuklate have higher recognition rate, STM32 all the information produced by the MP3, Can realize the two-dimensional data clustering.
som
- 自组织映射的基本代码，可用于分类，聚类，异常检测等-This self-organizing map is basic code,which can ba used for classification,clustering,anomaly detaction,etc.
APcluster
- matlab中的AP聚类的程序源码，输入参数可直接使用-The AP clustering matlab program source code, the input parameters can be used directly
liepen
- 利用matlab写成的窄带噪声发生，基于欧几里得距离的聚类分析，主要为数据分析和统计。- Using matlab written narrowband noise occurs, Clustering analysis based on Euclidean distance, Mainly for data analysis and statistics.