Description: Matlab环境下的k-means聚类算法，实现图像分割，很快阿！-K-means Clustering arithmetic based on Matlab platform.It s fast for Image-Division! Platform: |
Size: 32740 |
Author:刘明霞 |
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Description: 图像集群（Image Clustering）
(1)图像读入，显示图像所在路径；
(2)采用imgcluster函数进行图像集群，选择集群个数后进行图像集群；
(3)运行后，在原图像上显示集群灰度图；
(4)若要显示各个集群情况，可打开【Show Clustering Image】新窗体，显示各集群类的基于原图的彩绘区域。其中非当前集群范围，则显示灰度为255的黑色。用户可点击按纽上下查看所有集群图。-image cluster (Image Clustering) (1) read into the images, Images show host path; (2) use of imgcluster function for image clusters, After the number of clusters chosen for image clusters; (3) After the operation, in the original image displayed on the gray level clusters; (4) To show that the various clusters, [Show Open Clustering Image -- new windows, showed that the cluster type based on the maximum of regional painting. Clusters of non-current range, it shows that the intensity of 255 black. Users can click on View All button next cluster map. Platform: |
Size: 114137 |
Author:mecal |
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Description: 改进的kmeans算法，聚类效果良好，比三种算法要好，matlab(The improved kmeans algorithm has good clustering effect and is better than the three algorithms, matlab) Platform: |
Size: 9216 |
Author:怀志
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Description: 基于Matlab的K均值聚类算法程序，将数据集分为两类(Kmean clustering algorithm, the data sets are divided into two classes) Platform: |
Size: 10240 |
Author:1688772
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Description: 一个matlab的kmeans聚类算法代码，输入聚类数据和类簇数，输出分好类的数据(A matlab kmeans clustering algorithm code, input cluster data and cluster number, the output of the good class of data) Platform: |
Size: 1024 |
Author:为左你锁芯
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Description: 利用matlab程序编写的图像分割代码，算法为kmeans聚类算法，分割速度和效果很好(The image segmentation code written by MATLAB program, the algorithm is kmeans clustering algorithm, the segmentation speed and effect is very good) Platform: |
Size: 1024 |
Author:pwp |
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Description: K-means算法是集简单和经典于一身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。
该算法认为类簇是由距离靠近的对象组成的，因此把得到紧凑且独立的簇作为最终目标。(K-means algorithm is a distance based clustering algorithm which is simple and classic.
Distance is used as a similarity evaluation index, that is, the closer the distance between the two objects is, the greater the similarity is.
The algorithm considers that clusters are composed of objects close to each other. Therefore, a compact and independent cluster is the ultimate goal.) Platform: |
Size: 6144 |
Author:What111 |
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Description: jieba分词将中文文本进行分词处理，将分词后的结果使用word2vec转化成词向量，使用kmeans将中文文本进行聚类(Jieba participle segmenting Chinese text, transforming the result of word segmentation into word vector using word2vec, and clustering Chinese text using kmeans.) Platform: |
Size: 3072 |
Author:zxy0308 |
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Description: 利用简单kmeans聚类算法，对不同图片进行分类，图片内容包括人像，风景，建筑，动物，植物等，平台是matlab。(The simple k - means clustering algorithm is used to classify different pictures. the picture content includes portrait, scenery, architecture, objects, plants, etc. The platform is MATLAB.) Platform: |
Size: 1634304 |
Author:网安贝 |
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Description: matlab实现Kmeans聚类算法，非常详细。(The algorithm is designed to test the MATLAB clustering algorithm and is very useful.) Platform: |
Size: 3072 |
Author:天凡 |
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Description: 1) 使用凝聚型层次聚类算法（即最小生成树算法）对所有数据点进行聚类，最后聚成3类。相异度定义方法可选择single linkage、complete linkage、average linkage或者average group linkage中任意一种。
2) 使用C-Means算法对所有数据点进行聚类。C=3。
任务2（必做）：
使用高斯混合模型（GMM）聚类算法对所有数据点进行聚类。C=3。并请给出得到的混合模型参数（包括比例??、均值??和协方差Σ）。
任务3（全做）：
1) 参考数据文件第三列的类标签，使用聚类有效性评价的外部方法Normalized Mutual Information指标，分别计算任务1和任务2聚类结果的有效性。
2) 使用聚类有效性评价的内部方法Xie-Beni指标，分别计算任务1和任务2聚类结果的有效性。(The main results are as follows: 1) the condensed hierarchical clustering algorithm (that is, the minimum spanning tree algorithm) is used to cluster all the data points, and finally it is grouped into three categories. Any of the single linkage,complete linkage,average linkage or average group linkage methods can be selected for the definition of dissimilarity. 2) using C-Means algorithm to cluster all data points. C = 3.) Platform: |
Size: 26624 |
Author:小鹏鹏123 |
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