Wang, Zhiren (2019) Clustering Time Series Data Considering Both Trend Filtering and Subject Level Closeness. In: Proceedings of the 2nd International Conference on Machine Learning and Automation, CONF-MLA 2024, November 21, 2024, Adana, Turkey.
![[thumbnail of 71868.pdf]](http://eprints.eai.eu/style/images/fileicons/application_pdf.png "71868.pdf")
PDF
71868.pdf
Download (1MB)
Abstract
This paper presents a novel clustering methodology that integrates both longitudinal trends and multi-dimensional proximity of lung cancer rates across 50 U.S. states and Washington D.C. from 1969 to 2019. By synthesizing temporal dynamics and local similarities, the proposed hybrid algorithm refine
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 18:27 |
| Last Modified: | 16 Apr 2026 21:38 |
| URI: | http://eprints.eai.eu/id/eprint/52548 |
Actions (login required)
- View Item