An Integrated Framework for Mixed Data Clustering Using Growing Hierarchical Self-Organizing Map (GHSOM)

• Published in: Mathematical Modelling and Scientific Computation pp. 471 - 479
• Main Authors: Hari Prasad, D., Punithavalli, M.
• Format: Book Chapter
• Language: English
• Published: Berlin, Heidelberg Springer Berlin Heidelberg
• Series: Communications in Computer and Information Science
• Subjects: Attribute-Oriented Induction; Growing Hierarchical Self-Organizing Map (GHSOM); Pattern Discovery; Self-Organizing Map (SOM)

Clustering plays an important role in data mining of large data and helps in analysis. This develops a vast importance in research field for providing better clustering technique. There are several techniques exists for clustering the similar kind of data. But only very few techniques exists for clu...