Unsupervised Visual Data Mining Using Self-organizing Maps and a Data-driven Color Mapping
- DOI
- 10.1109/iv.2012.48
- Published
- 2012-07
- Container
- 2012 16th International Conference on Information Visualisation
- Publisher
- IEEE
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1109/iv.2012.48,
title = {Unsupervised Visual Data Mining Using Self-organizing Maps and a Data-driven Color Mapping},
author = {Cyril De Runz and Eric Desjardin and Michel Herbin},
year = {2012},
journal = {2012 16th International Conference on Information Visualisation},
doi = {10.1109/iv.2012.48},
url = {https://doi.org/10.1109/iv.2012.48}
}RIS
TY - JOUR TI - Unsupervised Visual Data Mining Using Self-organizing Maps and a Data-driven Color Mapping AU - Cyril De Runz AU - Eric Desjardin AU - Michel Herbin PY - 2012 JO - 2012 16th International Conference on Information Visualisation DO - 10.1109/iv.2012.48 UR - https://doi.org/10.1109/iv.2012.48 ER -
APA
Runz, C. D., Desjardin, E., & Herbin, M. (2012). Unsupervised Visual Data Mining Using Self-organizing Maps and a Data-driven Color Mapping. 2012 16th International Conference on Information Visualisation. https://doi.org/10.1109/iv.2012.48
Source records
- crossref · retrieved 2026-09-26T17:27:27.423Z