Evidence map›Paper›PMID 37238536›Full record

ArticleEntropy (Basel, Switzerland)2023

Adaptive Density Spatial Clustering Method Fusing Chameleon Swarm Algorithm.

Wei Zhou, Limin Wang, Xuming Han, Yizhang Wang, Yufei Zhang, Zhiyao Jia

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Using unsupervised learning to classify inlet water for more stable design of water reuse in industrial parks.Water science and technology : a journal of the International Association on Water Pollution Research · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Wei ZhouSchool of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, China.ORCID 0000-0002-4168-0554
Limin WangSchool of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, China.ORCID 0000-0002-0576-3950
Xuming HanCollege of Information Science and Technology, Jinan University, Guangzhou 510632, China.ORCID 0000-0002-6213-5600
Yizhang WangCollege of Information Engineering, Yangzhou University, Yangzhou 225127, China.
Yufei ZhangSchool of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, China.ORCID 0000-0003-1555-5888
Zhiyao JiaSchool of Economics and Management, Shenyang University of Chemical Technology, Shenyang 110142, China.

Funding

The National Social Science Foundation 22BTJ057
6 · The paper itself

Abstract

The density-based spatial clustering of application with noise (DBSCAN) algorithm is able to cluster arbitrarily structured datasets. However, the clustering result of this algorithm is exceptionally sensitive to the neighborhood radius (

Indexed as

adaptive clusteringchameleon swarm algorithmDBSCANimage segmentationparameter optimization

Identifiers

PMID37238536
PMCPMC10217359

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.