Project Title

Oh, Deer! Comparison of Clustering Algorithms on Deer Data

Presenting Author(s)

Destiny Cleary

Document Type

Event

Start Date

10-5-2019 3:30 PM

End Date

10-5-2019 6:30 PM

Description

This presentation focuses on clustering, a machine learning technique. Two types of clustering are compared: k-means and hierarchical; then they are applied to a dataset for black-tailed deer to find patterns in the data.

Discipline

Math

Research Mentor(s)

John Hossler

Copyright Status

http://rightsstatements.org/vocab/InC/1.0/

Additional Rights Information

Copyright held by author(s).

This document is currently not available here.

Share

COinS
 
May 10th, 3:30 PM May 10th, 6:30 PM

Oh, Deer! Comparison of Clustering Algorithms on Deer Data

This presentation focuses on clustering, a machine learning technique. Two types of clustering are compared: k-means and hierarchical; then they are applied to a dataset for black-tailed deer to find patterns in the data.

Rights Statement

In Copyright