# Fast Multi-View Clustering Via Ensembles: Towards Scalability, Superiority, and Simplicity

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/fast-multi-view-clustering-via-ensembles-towards-scalability-superiority-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Dong Huang,Chang‐Dong Wang,Jianhuang Lai |
| Citations | 254 |
| DOI | 10.1109/tkde.2023.3236698 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://ieeexplore.ieee.org/ielx7/69/4358933/10016684.pdf |
| OpenAlex ID | https://openalex.org/W4315926876 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Dong Huang](https://scholariq.org/researchers/dong-huang/)

## Paper primary topic

- [Advanced Clustering Algorithms Research](https://scholariq.org/topics/advanced-clustering-algorithms-research/)

## Paper topics

- [Advanced Clustering Algorithms Research](https://scholariq.org/topics/advanced-clustering-algorithms-research/)
- [Data Stream Mining Techniques](https://scholariq.org/topics/data-stream-mining-techniques/)
- [Face and Expression Recognition](https://scholariq.org/topics/face-and-expression-recognition/)

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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.
