# Deep clustering with a Dynamic Autoencoder: From reconstruction towards centroids construction

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-clustering-with-a-dynamic-autoencoder-from-reconstruction-towards-centroids/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Nairouz Mrabah,Naimul Khan,Riadh Ksantini,Zied Lachiri |
| Citations | 87 |
| DOI | 10.1016/j.neunet.2020.07.005 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3040712465 |
| PMID | 32688204 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Riadh Ksantini](https://scholariq.org/researchers/riadh-ksantini/)

## Paper journal

- [Neural Networks](https://scholariq.org/journals/neural-networks/)

## Paper primary topic

- [Generative Adversarial Networks and Image Synthesis](https://scholariq.org/topics/generative-adversarial-networks-and-image-synthesis/)

## Paper topics

- [Generative Adversarial Networks and Image Synthesis](https://scholariq.org/topics/generative-adversarial-networks-and-image-synthesis/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Time Series Analysis and Forecasting](https://scholariq.org/topics/time-series-analysis-and-forecasting/)

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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.