ORKM: An R package for online multi-view data clustering

We propose a package called ORKM, which implements the ORKMC (Online Regularized K-Means Clustering) method for handling online multi-view or single-view data, which named ORKMeans function in the package incorporates a regularization term to address multi-view clustering problems with online updates. ORKM computes classification results, cluster center matrices, and view-specific weights for multi-view datasets. It also supports branching multi/single-view data by converting the online RKMC algorithm into an offline version, referred to as RKMC (Regularized K-Means Clustering) realized by function RKMeans. We demonstrate the package's functionality through simulations and real-world data analyses, comparing it with other methods and related R packages. Overall, ORKM exhibits stable performance and effective clustering results.