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Limited random walk algorithm for big graph data clustering
(
SpringerOpen
, 2016 , Article)
Graph clustering is an important technique to understand the relationships between the vertices in a big graph. In this paper, we propose a novel random-walk-based graph clustering method. The proposed method restricts the ...
Training Radial Basis Function Neural Networks for Classification via Class-Specific Clustering
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Article)
In training radial basis function neural networks (RBFNNs), the locations of Gaussian neurons are commonly determined by clustering. Training inputs can be clustered on a fully unsupervised manner (input clustering), or ...