Compartir
Relational Data Clustering: Models, Algorithms, and Applications (Chapman & Hall
Bo Long; Zhongfei Zhang; Philip S. Yu (Autor)
·
Crc Pr Inc
· Tapa Blanda
Relational Data Clustering: Models, Algorithms, and Applications (Chapman & Hall - Bo Long; Zhongfei Zhang; Philip S. Yu
Sin Stock
Te enviaremos un correo cuando el libro vuelva a estar disponible
Reseña del libro "Relational Data Clustering: Models, Algorithms, and Applications (Chapman & Hall"
A culmination of the authors' years of extensive research on this topic, Relational Data Clustering: Models, Algorithms, and Applications addresses the fundamentals and applications of relational data clustering. It describes theoretic models and algorithms and, through examples, shows how to apply these models and algorithms to solve real-world problems.After defining the field, the book introduces different types of model formulations for relational data clustering, presents various algorithms for the corresponding models, and demonstrates applications of the models and algorithms through extensive experimental results. The authors cover six topics of relational data clustering: Clustering on bi-type heterogeneous relational data Multi-type heterogeneous relational data Homogeneous relational data clustering Clustering on the most general case of relational data Individual relational clustering framework Recent research on evolutionary clustering This book focuses on both practical algorithm derivation and theoretical framework construction for relational data clustering. It provides a complete, self-contained introduction to advances in the field.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
Todos los libros de nuestro catálogo son Originales.
El libro está escrito en Inglés.
La encuadernación de esta edición es Tapa Blanda.
✓ Producto agregado correctamente al carro, Ir a Pagar.