Clustering in Bioinformatics and Medical Informatics

Date/Time: 17 May 2012, 1:30 PM - 5:00 PM
Speaker: Kyungim Baek, Ph.D. & Julia Patriarche, Ph.D.
Speaker Affiliation: Department of Information and Computer Science
Venue: UH Manoa - Pacific Ocean Science and Technology (POST) Building, Room 318B

For more info: Kyungim Baek (kyungim@hawaii.edu)
Description: Clustering is a unsupervised learning problem which is of a great importance in various fields including computational biology, bioinformatics, and biomedical informatics. There are many clustering algorithms that are different in many ways - sensitivity to outliers,
scalability, etc. - and each has its own strength and weakness. In this workshop, a set of widely used clustering algorithms, such as k-means, hierarchical, and graph-based clustering, will be discussed along with their applications in bioinformatics and biomedical
informatics.