# DeCITS: Incomplete Time Series Clustering with Deep Contrastive Learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/decits-incomplete-time-series-clustering-with-deep-contrastive-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ying Zhong,Haiyan Wang,Dong Huang,Yuan-Kun Xu,Chang-Dong Wang,Huiru Zhou |
| Citations | 0 |
| DOI | 10.2139/ssrn.6192187 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://doi.org/10.2139/ssrn.6192187 |
| OpenAlex ID | https://openalex.org/W7128294281 |
| Type | preprint |
| Year | 2026 |

## Paper authors

- [Huiru Zhou](https://scholariq.org/researchers/huiru-zhou/)

## Paper journal

- [SSRN Electronic Journal](https://scholariq.org/journals/ssrn-electronic-journal/)

## Paper primary topic

- [Time Series Analysis and Forecasting](https://scholariq.org/topics/time-series-analysis-and-forecasting/)

## Paper topics

- [Time Series Analysis and Forecasting](https://scholariq.org/topics/time-series-analysis-and-forecasting/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.