Relational Data Clustering: Models, Algorithms, and Applications

This is the first book available that presents a comprehensive overview of relational data clustering in data mining research. The book reflects the recent emergence of relational data clustering as an important field of data clustering, with applications in text mining, social network analysis, collaborative filtering, and bioinformatics. It presents an in-depth, systematic discussion of the models, algorithms, and applications for relational data clustering. The book also covers recently emerging models in relational data clustering, including graph-based models, matrix factorization-based models, and probabilistic models.