Multi Density DBSCAN

• Published in: Intelligent Data Engineering and Automated Learning - IDEA 2011 Vol. 6936; pp. 446 - 453
• Main Authors: Ashour, Wesam, Sunoallah, Saad
• Format: Book Chapter
• Language: English
• Published: Germany Springer Berlin / Heidelberg 2011; Springer Berlin Heidelberg
• Series: Lecture Notes in Computer Science
• Subjects: Arbitrary Shape; Artificial intelligence; Clustering; DBSCAN; Information retrieval; variable Densities

Clustering algorithms are attractive for the task of class identification in spatial databases. However, the application to large spatial databases rises the following requirements for clustering algorithms: minimal requirements of domain knowledge to determine the input parameters, discovery of clu...