Hot Search : Source embeded web remote control p2p game More...
Location : Home Search - k-means matlab
Search - k-means matlab - List
基于matlab的图像K均值聚类算法程序 -Matlab-based Image K-means clustering algorithm procedures
Date : 2025-12-15 Size : 1kb User :

快速k-means算法,比matlab 自带的要快很多。-rapid k-means algorithm, compared to the Matlab bringing their much faster.
Date : 2025-12-15 Size : 3kb User : zhang chun xiao

用matlab对于FCM代码实现,不同于matlab中库函数-Used matlab code for FCM realize, unlike in matlab library function
Date : 2025-12-15 Size : 1kb User : 徐军

k-均值算法 做的图象分割实例 (将图片像素聚成三类)-k-means algorithm to do the image segmentation example (poly-pixel pictures into three categories)
Date : 2025-12-15 Size : 102kb User : 姜波

k均值聚类的动态分类算法 灰度图和彩图的 -k-means clustering algorithm for the dynamic classification of grayscale and color
Date : 2025-12-15 Size : 3kb User : zhangyan

DL : 0
K均值聚类算法,将模式识别方法与图像处理技术相结合,掌握利用K均值聚类算法进行图像分类的基本方法-K-means clustering algorithm, the pattern recognition method and image processing technology, to master the use of K-means clustering algorithm is the basic method of image classification
Date : 2025-12-15 Size : 1kb User : 孟星

k-均值聚类算法实现灰度图像分割,输入图像矩阵和聚类中心个数,返回为最终的聚类中心和图像中每个像素所属类的编号(对应于图像矩阵)-k-means clustering algorithm to achieve gray-scale image segmentation, the input image matrix and the number of cluster centers, the return for the final image of the cluster centers and their respective categories in each pixel number (corresponding to the image matrix)
Date : 2025-12-15 Size : 1kb User : cc

K均值模式识别程序。matlab语言实现。多学程序,多多亦善。-K-means pattern recognition procedures. matlab language. Learn procedures, many are also good.
Date : 2025-12-15 Size : 3kb User : 刘雷

k均值算法的matlab程序,可直接运行。-k-means algorithm matlab procedures, can be directly run.
Date : 2025-12-15 Size : 1kb User : jie

K均值图像分割,读入彩色图片,输出区域分割后的图片-K-means image segmentation, read full-color photographs, the output image after the region segmentation
Date : 2025-12-15 Size : 1kb User : wonder

用matlab实现的图像k均值分割,很好用的,以经过验证-Using matlab to achieve k-means image segmentation, well used to a proven
Date : 2025-12-15 Size : 34kb User : zhangyan

DL : 0
K-均值聚类算法,对数据进行聚类分析,可用于提取关键帧等。用matlab实现-K-means clustering algorithm, cluster analysis of data that can be used, such as key frame extraction. Using matlab to achieve
Date : 2025-12-15 Size : 120kb User : zhengmin

利用相位一致性提取图像边缘,K-means聚类后区域生长进行图像分割,附参考论文。-Using phase coherence image edge extraction, K-means clustering image after region growing segmentation, attached reference paper.
Date : 2025-12-15 Size : 2.45mb User : ost86

k均值聚类或者成为均值聚类,用于对各个数据进行分类-k-means clustering or a means clustering for the classification of the various data
Date : 2025-12-15 Size : 1kb User : 李岚

k-均值聚类法用于各种图像的聚类、分割问题,希望可以对您有利-k-means clustering method for a variety of image clustering, segmentation
Date : 2025-12-15 Size : 1kb User : yanliu

对于灰度图的 k均值算法实现 matlab代码-Gray graphics k-means matlab code
Date : 2025-12-15 Size : 1kb User : Leo

k-means聚类算法的matlab代码 截图的 想用还是自己手打吧-k-means clustering algorithm matlab code screenshot or their own hands to fight it.
Date : 2025-12-15 Size : 5kb User : 胡爹

K-means算法是很典型的基于距离的聚类算法,采用距离作为相似性的评价指标,即认为两个对象的距离越近,其相似度就越大(K-means algorithm is a typical distance based clustering algorithm. The distance is used as the evaluation index of similarity, that is, the closer the distance between the two objects, the greater the similarity)
Date : 2025-12-15 Size : 13kb User : venshow

K-Means算法,不要求建立模型之后对结果进行新的预测,没有相应的标签,只是根据数据的特征对数据进行聚类。主成分分析降维对数据进行可视化操作,对features进行降维.(K-Means algorithm does not require the establishment of the model after the new prediction of the results, there is no corresponding tag, but only on the characteristics of data clustering data. The principal component analysis reduces the dimension, carries on the visualization operation to the data, reduces the dimension to the features.)
Date : 2025-12-15 Size : 33kb User : 赵嘉慧

基于K-means聚类算法的图像区域分割(Image region segmentation based on K-means clustering algorithm)
Date : 2025-12-15 Size : 29kb User : 星风雪雨
« 12 3 4 5 »
CodeBus is one of the largest source code repositories on the Internet!
Contact us :
1999-2046 CodeBus All Rights Reserved.