Modified balanced iterative reducing and clustering using hierarchies (m-BIRCH) for visual clustering


In modern visual clustering applications where datasets are large and updates with new data may be ongoing, methods of online clustering are extremely important. Online clustering algorithms incrementally cluster the data points, use a fraction of the dataset memory, and update the clustering decisions when new data comes in. In this paper we adapt a… (More)
DOI: 10.1007/s10044-015-0472-4

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