How to use 'pdist' for specified clustering technique for 2D dataset

1 回表示 (過去 30 日間)
Ravindu Lokuliyana
Ravindu Lokuliyana 2021 年 6 月 14 日
編集済み: Ravindu Lokuliyana 2021 年 6 月 15 日
Hi there,
I have two-dimensional timeseries dataset and need to choose a subset using clustering method of Maximum Dissimilarity Algorithem(MDA) as in the attached figure.
Although I was trying to use 'pdist' for the application, I'm struggling to implement this method according to its description.
I need to know that, is it possible to implement this with 'pdist' or are there any other in-built functions to process this to save the computational time?
I would be greatful if someone can help me solve the issue using random datasets.
Thank you very much.
Please note that the figures are extracted from following journal paper.

回答 (0 件)

Community Treasure Hunt

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

Start Hunting!

Translated by