Tagged with: High-dimensional Data
PROJECT
Prototyping automated property portfolio analysis and investment suggestions
Designing evaluation schemes for cluster analysis of high-dimensional data using biased example clusters.
Students: Rasmus Friis Jensen
Supervisors:
Niels Ørbæk Chemnitz, Philippe Bonnet
Level: MSc,
Semester: Spring 2021
Tags: Unsupervised Learning, Recommender Systems, High-dimensional Data, Experimental Design