Faculty: Engineering
Department: Surveying and Geomatics Engineering
Department: Surveying and Geomatics Engineering
Type of the workshop: National workshop
The workshop in brief: Other information about the Event:
The workshop is dealing with a large set of input variables . By PCA, large dimensions can be reduced and the bad consequence of multi-co linearity can be avoided
Participants: 21 Participants
Date and time: March 06, 2024 ( Wednesday)
Place: Tishk International University_ Main Building, Hall #202
Place: Tishk International University_ Main Building, Hall #202
Session topics:
Session one was related to definitions, background of the topic and rotation of axis , while the second comprised the steps to conduct PCA using matrices operations, Scree plot and importance of biplot for determining the relations among different input variables
Session one was related to definitions, background of the topic and rotation of axis , while the second comprised the steps to conduct PCA using matrices operations, Scree plot and importance of biplot for determining the relations among different input variables
Presenters names and affiliations:
Understanding the basics of PCA, how large dimensions can be shrunk, how to avoid the problem of multicollinearity and how to detect the relations among the variables through biplot.
Dr. Tariq H. Karim
Outcome of the workshop:
Understanding the basics of PCA, how large dimensions can be shrunk, how to avoid the problem of multicollinearity and how to detect the relations among the variables through biplot.
