搜索资源列表
DBSCAN_disp
- 以图形显示聚类算法DBSCAN结果的MATLAB完整源代码-display the result of the DBSCAN Algorithm in matlab
My-clustering-algorithm
- 自己编写的模糊c均值聚类算法MATLAB实现-My preparation of fuzzy C mean clustering algorithm MATLAB implementation
curve
- 根据三维曲率，对动画模型进行时域即帧聚类的算法-temporal clustering, according to curvature
KNN
- 这是我自己写的knn的算法，实现了聚类，比较简单-This is what I wrote it myself knn algorithm implements clustering, relatively simple
Kmeans
- K-means聚类函数，训练，多维特征，纯C语言实现。-K- means clustering function, training, multidimensional characteristics, pure C language implementation.
lrr
- 聚类分析是数据挖掘研究领域中一个非常活跃的研究课题) 本文重点分析了高维度数据的自动子空间聚类算法-Cluster analysis is a data mining research area in a very active research topic) This paper focuses on automatic subspace clustering algorithm for high dimensional data
Spectral-Clustering-codeapaper
- 国外著名大牛的谱聚类像分图割方法源码和文章，对学习谱聚类算法很有帮助。-Spectral clustering famous stars like Daniel graph cut method source code and articles on learning spectral clustering helpful.
image-processing
- sijiequzao 是台雪城老师的四阶去噪模型代码； subspace clustering accuracy of the cod 是子空间聚类正确率代码； TVdual 是ROF模型的原始对偶算法代码； TVH-1fj 是TV_H-1图像分解模型代码； TVl1fj 是TV_L1图像分解模型代码。-" Sijiequzao" is the teacher' s desk Syracuse Fourth Order denoising model code &qu
BOVW_Class_DEMO
- Matlab实现BOVW模型，特征提取采用SIFT算法，字典学习采用k-means聚类学习，数据集采用UCM21类分类信息-Matlab achieve BOVW model, feature extraction algorithm using SIFT, dictionary learning using k-means clustering, data collection using UCM21 class category
MFCVIDEO
- 基于opencv的运动人流分类，采用了帧差法、DBSCAN聚类算法实现-Based on opencv motion flow classification, using the frame difference, DBSCAN clustering algorithm
zifushibie
- 英文数字识别，采用绝对值距离聚类方法，进行模板对比-English digital identification, the use of the absolute value of the distance clustering methods, the template comparison
AP
- AP聚类算法是基于数据点间的 信息传递 的一种聚类算法。与k-均值算法或k中心点算法不同，AP算法不需要在运行算法之前确定聚类的个数。AP算法寻找的 examplars 即聚类中心点是数据集合中实际存在的点，作为每类的代表-AP clustering algorithm is based on the information transfer between data points of a clustering algorithm. K- and k-means algorithm
meanshiftclustering
- 用于聚类，确定聚类中心，聚类半径，聚类数目，目标跟踪。
meanshift
- 用于聚类，确定聚类半径，聚类中心。用于跟踪。-Clustering is used to determine the radius of the cluster, the cluster center. For tracking.
KMeans
- k均值聚类，有聚类数目，聚类中心，实现有效聚类。-k-means clustering, there is the number of clusters, cluster centers achieve effective clustering.
naobanqiu
- 从脑部MRI图像中提取出左、右脑半球.对腐蚀后的二值图像的各连通区域进行标记，最后找到最大的连通区域.K均值聚类算法，根据要求有k 5或4；-Extracted the left and right hemispheres of the brain MRI image
MRIxiaonaonaogan
- 从脑部MRI图像中提取小脑和脑干，分别采用k均值聚类算法，阈值分割，形态学操作，分水岭算法，区域合并-Brainstem and cerebellum extracts the brain MRI images were used to k-means clustering algorithm, thresholding, morphological operations, watershed algorithm, region merging, etc.
MRIzuoyounaobanqiu
- 从脑部MRI图像中提取左右脑半球，分别采用k均值聚类算法，阈值分割，形态学操作，分水岭算法，区域合并-Extracted the brain MRI image left and right brain hemispheres, respectively k-means clustering algorithm, thresholding, morphological operations, watershed algorithm, region merging, etc.
K-means--C
- 运用k_means 聚类算法 对图像进行分类识别 c语言代码-Using k means clustering algorithm for image classification to identify c language code
SLIC-and-DBSCAN-Image-Segmentation
- 改进的图像分割算法：运用SLIC超像素分割和DBSCAN聚类算法相结合的方法实现图像分割-Image Segmentation using SLIC SuperPixels and DBSCAN Clustering