Table · dataset · 2023
Supplementary material: Machine learning based classification of vector field configurations
Listed in Edmond
The data set contains the supplementary material to support the paper: Machine learning based classification of vector field configurations.
Description
The dataset contains simulation files, scripts for data generation and a notebook which shows the steps undertaken to perform the study. The study shows how to cluster magnetisation vector fields into meaningful classes, based on their magnetisation configuration, using an unsupervised machine learning approach.
Links
Where it is published
- Dataverse dataset page edmond.mpg.de/dataset.xhtml?persistentId=doi%3A10.17617%2F3.KG33A1 ↗
landing page · from edmond mpdl mpg de
- DOI doi.org/10.17617/3.kg33a1 ↗
DOI / persistent id · from edmond mpdl mpg de
Catalogue records · 1
- Dataverse API edmond.mpg.de/api/datasets/:persistentId/?persistentId=doi%3A10.17617%2F3.KG… ↗
metadata API · from edmond mpdl mpg de
Topics
- Stated by source
- Computer Science, Systems and Electrical Engineering · Computer Science, Systems and Electrical Engineering · Materials Science and Engineering · Materials Science and Engineering · Physics · Physics
- From keywords
- Astronomy & Astrophysics · Chemistry · Computer Science & AI · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Engineering · Humanities · Life Sciences · Machine learning · Machine learning · Materials Science · Materials Science · Medicine & Health · Ocean & Atmospheric Science · Physics · Physics · Social Science
- Inferred from text
- Simulation 75%
Provenance · 2 source records, 32 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Edmond | doi:10.17617/3.KG33A1 | 13 d ago | JSON v1 |
| Edmond | doi:10.17617/3.KG33A1 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4611 | mapping · edmond mpg de | vocabulary-mapper@1.0.0 | keywords['Machine Learning'] |
| concepts[field].anzsrc:group:4611 | mapping · edmond mpdl mpg de | vocabulary-mapper@1.0.0 | keywords['Machine Learning'] |
| concepts[field].dataverse_subject:computer-science-systems-and-electrical-engineering | source · edmond mpg de | connector:edmond_mpg_de@1.0.0 | /subjects |
| concepts[field].dataverse_subject:computer-science-systems-and-electrical-engineering | source · edmond mpdl mpg de | connector:edmond_mpdl_mpg_de@1.0.0 | /subjects |
| concepts[field].dataverse_subject:materials-science-and-engineering | source · edmond mpdl mpg de | connector:edmond_mpdl_mpg_de@1.0.0 | /subjects |
| concepts[field].dataverse_subject:materials-science-and-engineering | source · edmond mpg de | connector:edmond_mpg_de@1.0.0 | /subjects |
| concepts[field].dataverse_subject:physics | source · edmond mpg de | connector:edmond_mpg_de@1.0.0 | /subjects |
| concepts[field].dataverse_subject:physics | source · edmond mpdl mpg de | connector:edmond_mpdl_mpg_de@1.0.0 | /subjects |
| concepts[field].local:field:astronomy | mapping · edmond mpg de | connector:edmond_mpg_de@1.0.0 | /subjects |
| concepts[field].local:field:chemistry | mapping · edmond mpg de | connector:edmond_mpg_de@1.0.0 | /subjects |
| concepts[field].local:field:computer-science-ai | mapping · edmond mpdl mpg de | connector:edmond_mpdl_mpg_de@1.0.0 | /subjects |
| concepts[field].local:field:computer-science-ai | mapping · edmond mpg de | connector:edmond_mpg_de@1.0.0 | /subjects |
| concepts[field].local:field:earth-environmental | mapping · edmond mpg de | connector:edmond_mpg_de@1.0.0 | /subjects |
| concepts[field].local:field:economics-finance | mapping · edmond mpg de | connector:edmond_mpg_de@1.0.0 | /subjects |
| concepts[field].local:field:engineering | mapping · edmond mpdl mpg de | connector:edmond_mpdl_mpg_de@1.0.0 | /subjects |
| concepts[field].local:field:engineering | mapping · edmond mpg de | connector:edmond_mpg_de@1.0.0 | /subjects |
| concepts[field].local:field:humanities | mapping · edmond mpg de | connector:edmond_mpg_de@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · edmond mpg de | connector:edmond_mpg_de@1.0.0 | /subjects |
| concepts[field].local:field:materials-science | mapping · edmond mpg de | connector:edmond_mpg_de@1.0.0 | /subjects |
| concepts[field].local:field:materials-science | mapping · edmond mpdl mpg de | connector:edmond_mpdl_mpg_de@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · edmond mpg de | connector:edmond_mpg_de@1.0.0 | /subjects |
| concepts[field].local:field:ocean-atmospheric | mapping · edmond mpg de | connector:edmond_mpg_de@1.0.0 | /subjects |
| concepts[field].local:field:physics | mapping · edmond mpg de | connector:edmond_mpg_de@1.0.0 | /subjects |
| concepts[field].local:field:physics | mapping · edmond mpdl mpg de | connector:edmond_mpdl_mpg_de@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · edmond mpg de | connector:edmond_mpg_de@1.0.0 | /subjects |
| concepts[method].local:method:simulation | enrichment · edmond mpdl mpg de | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · edmond mpdl mpg de | connector:edmond_mpdl_mpg_de@1.0.0 | |
| description | source · edmond mpdl mpg de | connector:edmond_mpdl_mpg_de@1.0.0 | /description |
| publication_date | source · edmond mpdl mpg de | connector:edmond_mpdl_mpg_de@1.0.0 | |
| title | source · edmond mpdl mpg de | connector:edmond_mpdl_mpg_de@1.0.0 | /name |
| updated_date | source · edmond mpdl mpg de | connector:edmond_mpdl_mpg_de@1.0.0 | |
| version_label | source · edmond mpdl mpg de | connector:edmond_mpdl_mpg_de@1.0.0 |