Evidence map›Paper›PMID 40989482›Full record

ArticlePeerJ. Computer science2025

The DBCV index is more informative than DCSI, CDbw, and VIASCKDE indices for unsupervised clustering internal assessment of concave-shaped and density-based clusters.

Davide Chicco, Giuseppe Sabino, Luca Oneto, Giuseppe Jurman

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ. Computer science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Davide ChiccoDipartimento di Informatica Sistemistica e Comunicazione, Università di Milano-Bicocca, Milan, Italy.ORCID 0000-0001-9655-7142
Giuseppe SabinoDipartimento di Informatica Sistemistica e Comunicazione, Università di Milano-Bicocca, Milan, Italy.
Luca OnetoDipartimento di Informatica Bioingegneria Robotica e Ingegneria dei Sistemi, Università di Genova, Genoa, Italy.
Giuseppe JurmanDepartment of Biomedical Sciences, Humanitas University, Milan, Italy.ORCID 0000-0002-2705-5728

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clustering methods are unsupervised machine learning techniques that aggregate data points into specific groups, called

Indexed as

Cluster analysisClusteringDBCVDBSCANDensity-based clustering validation indexInternal clustering assessmentMachine learningUnsupervised machine learning

Identifiers

PMID40989482
PMCPMC12453699

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.