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Chapter and Conference Paper
p-Spectral Clustering Based on Neighborhood Attribute Granulation
Clustering analysis is an important method for data mining and information statistics. Data clustering is to find the intrinsic links between objects and describe the internal structures of data sets. p-Spectral ...
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Chapter and Conference Paper
A K-AP Clustering Algorithm Based on Manifold Similarity Measure
K-AP clustering algorithm is a kind of affinity propagation (AP) clustering that can directly generate specified K clusters without adjusting the preference parameter. Similar to AP clustering algorithm, the clus...
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Chapter and Conference Paper
Large-Scale Spectral Clustering with Stochastic Nyström Approximation
In spectral clustering, Nyström approximation is a powerful technique to reduce the time and space cost of matrix decomposition. However, in order to ensure the accurate approximation, a sufficient number of s...