Evidence map›Paper›PMID 33265736›Full record

ArticleEntropy (Basel, Switzerland)2018

On the Geodesic Distance in Shapes

Stefano Antonio Gattone, Angela De Sanctis, Stéphane Puechmorel, Florence Nicol

Open access · goldAbstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2018. 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
2.7field-weighted citation impact, top 10% of its field
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, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 at 2 institutions in 2 countries.

Stefano Antonio GattoneDepartment of Philosophical, Pedagogical and Economic-Quantitative Sciences, University "G. d'Annunzio" of Chieti-Pescara, 66100 Chieti, Italy.ORCID 0000-0002-6143-9012
Angela De SanctisDepartment of Business Economics, University "G. D'Annunzio" of Chieti-Pescara, 65127 Pescara, Italy.
Stéphane PuechmorelEcole Nationale de l'aviation Civile (ENAC), Université Fédérale de Toulouse, FR-31055 Toulouse CEDEX, France.
Florence NicolEcole Nationale de l'aviation Civile (ENAC), Université Fédérale de Toulouse, FR-31055 Toulouse CEDEX, France.ORCID 0000-0002-2746-3828
École Nationale de l’Aviation Civile · FRUniversity of Chieti-Pescara · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, the problem of clustering rotationally invariant shapes is studied and a solution using Information Geometry tools is provided. Landmarks of a complex shape are defined as probability densities in a statistical manifold. Then, in the setting of shapes clustering through a

Indexed as

clusteringFisher-Rao metricK-means algorithmShape Analysiswasserstein distance

Identifiers

PMID33265736
PMCPMC7513169
OpenAlexW2889382232

What OpenQuestion 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 OpenQuestion graph.