Using Data Clustering in Oral Medicine
Paper i proceeding, 2008

The vast amount of information hidden in huge databases has created tremendous interests in the field of data mining. This paper examines the possibility of using data clustering techniques in oral medicine to identify functional relationships between different attributes and classification of similar patient examinations. Commonly used data clustering algorithms have been reviewed and as a result several interesting results have been gathered.

Cluto

Oral medicine

Data clustering

Data mining

Författare

Fahad Shahbaz Kahn

Rao Muhammad Anwer

Olof Torgersson

Göteborgs universitet

PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY

1307-6884 (ISSN)

Vol. 27 231-235

Ämneskategorier

Annan data- och informationsvetenskap

Datavetenskap (datalogi)