WebMay 9, 2016 · The composition of the Earth’s early atmosphere is uncertain. The morphology of vesicles in basalts suggests that the air pressure 2.7 billion years ago was … This paper proposes a clustering ensemble method that introduces cascade structure into the self-organizing map (SOM) to solve the problem of the poor performance of a single clusterer. Cascaded SOM is an extension of classical SOM combined with the cascaded structure. The method combines the outputs of multiple … See more Advances in network techniques provide more access to data, especially unlabeled data, which is a significant factor for the fast development of the clustering algorithm. Nowadays, clustering has an important role in … See more The SOM network can create a map between high-dimensional data and low-dimensional data, with original topology structure reserved. As a nonlinear dimension reduction algorithm, SOM trains competition layer … See more In this paper, a new clustering ensemble approach is investigated. The proposed method is based on introducing a cascaded structure … See more To measure the improvement brought by the proposed cascaded SOM to the classic SOM, several experiments are conducted on MNIST handwritten digit dataset, USPS … See more
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WebNov 21, 2024 · The problem with anonymization is to provide a balance between the amount of the information omitted from a data set and the complete disclosure of individual identities. In this paper, we introduce a novel technique to anonymize data using topological collaborative clustering and constrained clustering. The main idea behind the paper is to … WebHindawi WebMay 31, 2024 · A multiattribute SOM-K-means clustering algorithm, which implements a two-stage clustering by using multiple geological attributes, is proposed and applied for SFA. sandbox switch games