wanxinhang/TNNLS-2024-OMVCDR

The code of TNNLS 2024 ''One-Step Multi-View Clustering With Diverse Representation''

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Emerging

This project helps researchers and data scientists organize complex datasets by grouping similar items together, even when the data comes from multiple different sources or perspectives. You provide various 'views' of your data, and it outputs a single, unified set of clusters that reflect the underlying structure across all views. This is ideal for anyone working with rich, multi-faceted data.

Use this if you need to find inherent groupings within datasets where each data point is described by several different types of features or attributes (e.g., images with text descriptions, customer data with purchase history and demographics).

Not ideal if your data only has a single set of features, or if you need to classify new data points into existing categories rather than discover new ones.

data-analysis pattern-recognition unsupervised-learning multi-modal-data research-science
No License No Package No Dependents
Maintenance 10 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 9 / 25

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Stars

7

Forks

1

Language

MATLAB

License

Last pushed

Feb 01, 2026

Commits (30d)

0

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