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This package implements the ORKMC algorithm for clustering multi-view data, showing stable results and good performance.
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
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Yu et al. (2025) studied this question.
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