Feb. 15, 2024, 5:42 a.m. | J. Senthilnath, Adithya Bhattiprolu, Ankur Singh, Bangjian Zhou, Min Wu, J\'on Atli Benediktsson, Xiaoli Li

cs.LG updates on arXiv.org arxiv.org

arXiv:2402.09167v1 Announce Type: new
Abstract: A novel online clustering algorithm is presented where an Evolving Restricted Boltzmann Machine (ERBM) is embedded with a Kohonen Network called ERBM-KNet. The proposed ERBM-KNet efficiently handles streaming data in a single-pass mode using the ERBM, employing a bias-variance strategy for neuron growing and pruning, as well as online clustering based on a cluster update strategy for cluster prediction and cluster center update using KNet. Initially, ERBM evolves its architecture while processing unlabeled image data, …

abstract algorithm arxiv bias bias-variance boltzmann clustering clustering algorithm cs.lg data embedded machine network neuron novel pruning strategy streaming streaming data type variance

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