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A novel image segmentation method based on fast density clustering algorithm

Research article (Engineering Applications of Artificial Intelligence, 2018) · cited 40× · AI/ML
CreativeWork academia

Facts

4 properties
Instance of
scholarly article[2]
Publication date
May 25, 2018as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
Published in
Engineering Applications of Artificial Intelligenceas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
Title
A novel image segmentation method based on fast density clustering algorithmas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
OpenAlex ID
W2803696563as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
DOI
10.1016/J.ENGAPPAI.2018.04.023as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded

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📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Authored by 5
Haibin Zheng, Jinyin Chen, Mengmeng Su, Xiang Lin, Yangyang Wu
← Author of 5
Haibin Zheng, Jinyin Chen, Mengmeng Su, Xiang Lin, Yangyang Wu
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Summary

A novel image segmentation method based on fast density clustering algorithm is a scholarly article[1].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). A novel image segmentation method based on fast density clustering algorithm. Retrieved October 18, 2026, from https://4ort.xyz/entity/a-novel-image-segmentation-method-based-on-fast-density-clustering-algorithm
MLA “A novel image segmentation method based on fast density clustering algorithm.” 4ort.xyz Knowledge Graph, 4ort.xyz, 18 Oct. 2026, https://4ort.xyz/entity/a-novel-image-segmentation-method-based-on-fast-density-clustering-algorithm.
BibTeX @misc{4ortxyz_a-novel-image-segmentation-method-based-on-fast-density-clustering-algorithm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel image segmentation method based on fast density clustering algorithm}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-image-segmentation-method-based-on-fast-density-clustering-algorithm}, note = {Accessed: 2026-10-18}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A novel image segmentation method based on fast density clustering algorithm — https://4ort.xyz/entity/a-novel-image-segmentation-method-based-on-fast-density-clustering-algorithm (retrieved 2026-10-18)

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