Incremental Clustering: The Case for Extra Clusters

NeurIPS 2014 Margareta AckermanSanjoy Dasgupta

The explosion in the amount of data available for analysis often necessitates a transition from batch to incremental clustering methods, which process one element at a time and typically store only a small subset of the data. In this paper, we initiate the formal analysis of incremental clustering methods focusing on the types of cluster structure that they are able to detect... (read more)

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