Kmeans Clustering Using the Distance Matrix

5 次查看（过去 30 天）
Shahrukh Kasi
Shahrukh Kasi 2018-1-5
评论： Image Analyst 2019-3-24
In Matlab predefine function of K-means, we can do the clustering by giving the location of data points and number of clusters. Can we use the same K-means function to do clustering just on the basis of distance matrix and number of clusters?

请先登录，再回答此问题。

回答（2 个）

Image Analyst
Image Analyst 2018-1-5
Yes. The feature(s) upon which you do cluster analysis can be distance or whatever you want.
  4 个评论
显示 2更早的评论
MA-Winlab
MA-Winlab 2019-3-24
I have a set of pulses I am extracting from accelrometer and calculating the distance between each two pulses (pairwise). This way I am contructing a distance matrix and since I am doing this pairwise, then the diagonal will be 0s.

请先登录，再进行评论。

Asghar Moeini
Asghar Moeini 2018-4-29
No you cannot, as you need data for calculating centroids in each iterations, but you can use kmedioids clustering method which use medians instead of centriods. This algorithm is doownloadable in the following link: https://au.mathworks.com/matlabcentral/fileexchange/28860-kmedioids?focused=5165469&tab=function

类别

在 Help Center 和 File Exchange 中查找有关 k-Means and k-Medoids Clustering 的更多信息

标签

产品

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by