ORKM: An R Package for Online Multi-View Data

Fuente: arXiv
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Main Authors: Yu, Miao, Guo, Guangbao
Format: Preprint
Published: 2025
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author Yu, Miao
Guo, Guangbao
author_facet Yu, Miao
Guo, Guangbao
contents We introduce a software package, denoted as ORKM, that incorporates the Online Regu larized K-Means Clustering (ORKMC) algorithm for processing online multi/single-view data. The function ORKMeans of the ORKMC utilizes a regularization term to address multi-view clustering problems with online updates. The package ORKM is capable of computing the classification results, cluster center matrices, and weights for each view of the multi-view data sets. Furthermore, it can handle branch multi/single-view data by transforming the online RKMC algorithm into an offline version, referred to as Regularized K-Means Clustering (RKMC). We demonstrate the effectiveness of the package through simulations and real data analysis, comparing it with several methods and related R packages. Our results indicate that the package is stable and produces good clustering outcomes
format Preprint
id arxiv_https___arxiv_org_abs_2504_15402
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle ORKM: An R Package for Online Multi-View Data
Yu, Miao
Guo, Guangbao
Applications
Computation
We introduce a software package, denoted as ORKM, that incorporates the Online Regu larized K-Means Clustering (ORKMC) algorithm for processing online multi/single-view data. The function ORKMeans of the ORKMC utilizes a regularization term to address multi-view clustering problems with online updates. The package ORKM is capable of computing the classification results, cluster center matrices, and weights for each view of the multi-view data sets. Furthermore, it can handle branch multi/single-view data by transforming the online RKMC algorithm into an offline version, referred to as Regularized K-Means Clustering (RKMC). We demonstrate the effectiveness of the package through simulations and real data analysis, comparing it with several methods and related R packages. Our results indicate that the package is stable and produces good clustering outcomes
title ORKM: An R Package for Online Multi-View Data
topic Applications
Computation
url https://arxiv.org/abs/2504.15402