Multi-Modal Similarity Matrix Joint Factorization
Overview
A new method to implement clustering from multiple modality data of certain samples, the function M2SMjF() jointly factorizes multiple similarity matrices into a shared sub-matrix and several modality private sub-matrices, which is further used for clustering. Along with this method, we also provide function to calculate the similarity matrix and function to evaluate the best cluster number from the original data.
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK12 OK2026-04-25
Show 1 earlier changeHide 1 earlier change
- NOTE11 OK, 3 NOTE2026-03-10
Documentation
- Help pages
- 14
- Examples that run
- 100%14 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Code & Tests
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.0Latest2020-11-23 · current release
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2020-11-23
- Total releases
- 1 / 6 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.4.0
- Download size
- 19 KB
Cite
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