Introduction to Clustering
When: Mar. 11th, 2025 11:00 am - 12:00 pm
Learning Level: Any
To Know
Where:
Bldg. 549, Executive Board Room, NCI Frederick, Online Webinar
Organizer:
ABCS group
Presented By:
Brian Luke (Advanced Biomedical Computational Science, ABCS)
About this Class
Clustering is an unsupervised machine learning technique that groups together similar objects (samples, individuals, etc.). Determining the similarity between objects requires a distance metric. This talk provides a brief overview of distance metrics, hierarchical (agglomerative and divisive) and non-hierarchical (K-means) clustering, and their relative strengths and weaknesses. This is a high-level introduction.
This presentation is a part of the Statistics for Lunch Seminar Series hosted by the Advanced Biomedical Computational Science Group. The original listing for this event is here.