# Osaka Metro University's SOM-OLP Cuts Classic Clustering Complexity From Quadratic to Linear — retained record

> Retained news record from news:ml-alphasignal.

Canonical: https://highsignal.app/data/records/d3b0b4cfc23db46f

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source: [news](https://highsignal.app/data/news) (news:ml-alphasignal)  published 2026-10-28 01:16 ingested 2026-10-28 02:52

[original source ↗](https://alphasignal.ai/news/osaka-metro-university-s-som-olp-cuts-classic-clustering-complexity-from)

## retained text



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A new objective-based Self-Organizing Map variant gives every data point its own continuous latent coordinate, cutting cost from O(NM²) to O(NM) while topping 16 benchmarks.
```



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