6 papers · 1 filter
Non-Supervised Community Detection and Hierarchical Modularity Estimation in Complex Networks
Alexandre Benatti, Luciano da F. Costa
This work extends to complex networks a recently described methodology (A. Benatti and L. da F Costa, Detecting Hierarchical Clusters and Estimating their Modularity Directly from…
Detecting Hierarchical Clusters and Estimating their Modularity Directly from Dendrograms
Alexandre Benatti, Luciano da F. Costa
Identifying possible clusters in datasets and estimating their hierarchical modularity are central tasks in pattern recognition. In the present work, concepts and methodologies are…
Random Walks Performed by Topologically-Specific Agents on Complex Networks
Alexandre Benatti, Luciano da F. Costa
Random walks by single-node agents have been systematically conducted on various types of complex networks in order to investigate how their topologies can affect the dynamics of t…
Partially Proportional and Adaptive Similarity Indices
Alexandre Benatti, Luciano da F. Costa
A good deal of science and technology concepts and methods rely on comparing and relating entities in quantitative terms. Among the several possible approaches, similarity indices…
Agglomerative Clustering in Uniform and Proportional Feature Spaces
Alexandre Benatti, Luciano da F. Costa
Pattern comparison represents a fundamental and crucial aspect of scientific modeling, artificial intelligence, and pattern recognition. Three main approaches have typically been a…
Subsuming Complex Networks by Node Walks
Alexandre Benatti, Luciano da F. Costa
The concept of node walk in graphs and complex networks has been addressed, consisting of one or more nodes that move into adjacent nodes, henceforth incorporating the respective c…