APC 520 - Mathematical Analysis of Massive Data Sets

Institution:

Princeton University

Subject:

Description:

This course will concern itself with the analysis of high dimensional data sets using spectral methods. There has been significant progress in the development of methods for dimensionality reduction of high dimensional data. We will discuss these methods and how to perform data analysis tasks such as clustering and classification, regression and out-of-sample extension of empirical functions, semi-supervised learning, and independent component analysis (ICA). We will emphasize applications to image and signal processing, structural biology, dynamical systems, text and document analysis, search and data mining, finance, and more.

Credits:

0.00 - 4.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.princeton.edu

Phone Number:

(609) 258-3000

Regional Accreditation:

Middle States Association of Colleges and Schools

Calendar System:

Semester

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