The graph is an important structure for representing objects and their relations. Its use in content-based image retrieval is still in its infancy, due to the lack of efficient algorithms for graph ...

In this paper a new algorithm, called CStar, for document clustering is presented. This algorithm improves recently developed algorithms like Generalized Star (GStar) and ACONS algorithms, originally ...

Many graph clustering techniques have been developed in the past. Each algorithm has its own set of advantages and disadvantages. Because of its superiority, Markov Clustering has been highlighted ...

Based on the spectral density, we propose a measure of distance and a k-means-inspired algorithm (MacQueen et al., 1967; Lloyd, 1982) to cluster graphs based on the spectral density. However, graphs ...

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2.2. Tier 1 Clustering: Graph Based Fingerprint Recognition by K-NN Clustering of the Minutiae. When the fingerprint minutiae are more in numbers, comparing each one of them becomes very expensive for ...