Unsupervised clustering of categorical data

7 次查看（过去 30 天）
Daniel Guignard
Daniel Guignard 2021-11-23
回答： Pratyush Roy 2021-12-1
Hi everyone,
I wanted to cluster a time serie dataset which has 30 timepoints and more than 50'000 rows. The dataset is categorical (from 1 to 6) which represent different categories.
The problem with my current clustergram method using the euclidian distance metrics, is that it will cluster the category 5 closer to 6. I don't want that, those categories are not somehow related. How is it possible to remove this bias in the clustering?
Hope my question is clear, thanks for your further help!
  2 个评论
Image Analyst
Image Analyst 2021-11-23
Could be clearer if you attached a .mat file with your table, as many rows as will fit into 5 MB (attachment size limit).

请先登录，再进行评论。

请先登录，再回答此问题。

回答（1 个）

Pratyush Roy
Pratyush Roy 2021-12-1
Hi Daniel,
The link here might be helpful for clustering categorical or non-numeric data.
Hope this helps!

类别

在 Help Center 和 File Exchange 中查找有关 Cluster Analysis and Anomaly Detection 的更多信息

标签

产品


版本

R2021b

Community Treasure Hunt

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

Start Hunting!

Translated by