Dip-means: an incremental clustering method for estimating the number of clusters

Argyris Kalogeratos, Aristidis Likas. Dip-means: an incremental clustering method for estimating the number of clusters. In Peter L. Bartlett, Fernando C. N. Pereira, Christopher J. C. Burges, Léon Bottou, Kilian Q. Weinberger, editors, Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012, Lake Tahoe, Nevada, United States. pages 2402-2410, 2012. [doi]

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