MIDDLE EAST TECHNICAL UNIVERSITY
DEPT. OF COMPUTER ENGINEERING
CENG 574 STATISTICAL DATA ANALYSIS
Fall 2015
Instructor
office
phone
e-mail
Class
Office Hour
Volkan Atalay
A-406 (but I am generally at Rektorluk)
210 2108
vatalay AT metu.edu.tr
Thursday 9:40-12:30 (A-101)
after class or by appointment
Course web page address
http://www.ceng.metu.edu.tr/courses/ceng574/
Course Objectives
The objective of this course is to introduce the concepts and techniques of clustering and
multivariate and exploratory data analysis. This course also offers an opportunity to perform data
analysis by using data visualization and projection. In addition, it allows students to apply these
techniques in a specific field, such as bioinformatics.
Prerequisites
Knowledge of programming, probability and linear algebra.
Main Reference Book
E. Alpaydın, Introduction to Machine Learning, 2nd Edition (2010) or 3rd Edition (2014), The MIT
Press.
(Yapay Öğrenme, Turkish language edition, translated by the author, Boğaziçi Üniversitesi
Yayınevi, April 2011)
Course Outline
1
Input representation, distance metrics and similarity measures
2
Brief review of probability and computational prototyping software tools
3
Linear projections and principal component analysis
4
Multi-dimensional scaling; non-linear projections-Isomap and LLE
5
Clustering, and hierarchical clustering and k-means clustering and their variations
6
Evaluation and validity of clusters, clustering by mixture of Gaussians and EM algorithm
7
Self organizing maps
8
Spectral clustering
9
Manifold learning and clustering
10
Kernel methods and clustering
11
Semi-supervised learning
Grading
Assignments
Term Paper/Report
Presentations
Attendance and class participation
40%
20%
30%
10%
Assignments, term paper and implementations should be done on individual basis.