INAF.Libraries.Net.GMode TECHNICAL REPORT

`INAF.Libraries.Net.GMode` is a .NET class library that implements a G-Mode classification workflow over matrix-based numerical datasets. The library groups samples into classes by iteratively standardizing input data, identifying core samples, computing correlationbased statistics, evaluating group membership through `g` values, and producing a structured classification output.The project is organized as a single library project targeting modern .NET, with the effective target in the project file set to `net10.0`.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-24
DOI
https://doi.org/10.5281/zenodo.19204296
Primary Topic
Advanced Statistical Methods and Models
Type
article
Field-Weighted Citation Impact
0.00
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article

INAF.Libraries.Net.GMode TECHNICAL REPORT

Zenodo (CERN European Organization for Nuclear Research)
Advanced Statistical Methods and Models
article

INAF.Libraries.Net.GMode TECHNICAL REPORT

article en

Abstract

`INAF.Libraries.Net.GMode` is a .NET class library that implements a G-Mode classification workflow over matrix-based numerical datasets. The library groups samples into classes by iteratively standardizing input data, identifying core samples, computing correlationbased statistics, evaluating group membership through `g` values, and producing a structured classification output.The project is organized as a single library project targeting modern .NET, with the effective target in the project file set to `net10.0`.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 16%
Advanced Statistical Methods and Models
DOIOpen Access PDFOpenAlex
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INAF.Libraries.Net.GMode TECHNICAL REPORT · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS