Examining Large-Scale Data Sets: Application of Matrix Calculus and a Vector-Based Approach

Counting in triples is surprisingly straightforward given the organization of data. It's important to recall how large datasets are structured into matrices. Essentially, matrices are large data arrays, and they can be categorized based on the arrangement of their elements . This is essentially a combination of elements grouped in a specific way

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Publication Details

Journal
Figshare
Published
2026-10-29
DOI
https://doi.org/10.6084/m9.figshare.34854567
Primary Topic
Matrix Theory and Algorithms
Type
preprint
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preprint

Examining Large-Scale Data Sets: Application of Matrix Calculus and a Vector-Based Approach

Ruslan Pozinkevych
Figshare
Matrix Theory and Algorithms
preprint

Examining Large-Scale Data Sets: Application of Matrix Calculus and a Vector-Based Approach

Ruslan Pozinkevych
preprint en

Abstract

Counting in triples is surprisingly straightforward given the organization of data. It's important to recall how large datasets are structured into matrices. Essentially, matrices are large data arrays, and they can be categorized based on the arrangement of their elements . This is essentially a combination of elements grouped in a specific way

Figshare
Matrix Theory and Algorithms
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Examining Large-Scale Data Sets: Application of Matrix Calculus and a Vector-Based Approach — Ruslan Pozinkevych · Figshare (2026) | TGRS Research Map | TGRS