A Concise Single-Parameter K-Means Denoising Algorithm for Point Clouds Based on Nearest-Point-Distance Features

Authors

Меженин Александр Владимирович (ORCID: https://orcid.org/0000-0002-7150-9811)
Weijie Liu (ORCID: https://orcid.org/0000-0002-3054-766X)

Institutions

ITMO University (RU)

Publication Details

Journal: Zenodo (CERN European Organization for Nuclear Research)
Published: 2026-11-02
DOI: https://doi.org/10.5281/zenodo.23882214
Primary Topic: 3D Shape Modeling and Analysis
Type: preprint

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preprint

A Concise Single-Parameter K-Means Denoising Algorithm for Point Clouds Based on Nearest-Point-Distance Features

Меженин Александр Владимирович, Weijie Liu

Nov 2, 2026

1 links

Zenodo (CERN European Organization for Nuclear Research)

3D Shape Modeling and Analysis

preprint

A Concise Single-Parameter K-Means Denoising Algorithm for Point Clouds Based on Nearest-Point-Distance Features

Меженин Александр Владимирович, Weijie Liu

November 2, 2026preprint en

Abstract

No abstract available for this paper.

Zenodo (CERN European Organization for Nuclear Research)

ITMO University (RU)

3D Shape Modeling and Analysis

DOI Open Access PDF OpenAlex

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A Concise Single-Parameter K-Means Denoising Algorithm for Point Clouds Based on Nearest-Point-Distance Features — Меженин Александр Владимирович, Weijie Liu · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS