Discovery of Useful Concepts Using the Hierarchy of Attributes and Concepts
Sang C. Suh, Sam I. Saffer, Viral Masarani · ASME Press eBooks · 2007
Clustering is the subject of active research in several fields such as statistics, pattern recognition, and machine learning. This research focuses on clustering in data mining. Data mining adds to clustering the complications of very large datasets with very many attributes of different types. This imposes unique computational requirements on relevant clustering algorithms. A variety of algorithms have recently emerged that meet these requirements and were successfully applied to real-life data mining problems. Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., Euclidean) similarity measure in...