Time Series Clustering and Classification
Financial indicators of an individual firm may be in the form of time series, vectors, or even richer data, such as text or images. The purpose of this work is to explore and develop methods for dealing with such data, and in particular perform the clustering/classification of such data into similar groups. In the project the intern will develop the tools that will allow to determine whether a client should be issued a loan or not.
View Full Project DescriptionRafal Kulik
ZetaTango Technology Inc
Mathematics
Information and cultural industries
University of Ottawa
Accelerate