Monday October 19, 2009
Motivation; Intro (no handouts)

Wednesday October 21, 2009
Distances/Dissimilarity Measures (no handouts)

Monday October 26, 2009
Principal Components/Curves; Multidimensional Scaling
Principal Curves: Hastie, Stuetzle
Data Visualization with Multidimensional Scaling: Buja, et al

Wednesday October 28, 2009
Projection Pursuit; Minimum Spanning Trees
A Projection Pursuit Algorithm for Exploratory Data Analysis: Friedman, et al
On the History of the Minimum Spanning Tree Problem: Graham, et al

Monday November 3, 2009
Closer look at Prim's MST; Hierarchical Clustering
Minimum Spanning Trees and Single Linkage Cluster Analysis: Gower and Ross

Wednesday November 5, 2009
Hierarchical Clustering; K-means/Medoids
Stability analysis in K-means clustering: Steinley

Monday November 9, 2009
Fuzzy K-Means/Clustering; Model-Based Clustering
MBC Slides
Ch.4 Kaufman, Rousseeuw
Model-Based Clustering, Discriminant Analysis, and Density Estimation: Fraley, Raftery

Wednesday November 11, 2009
Variable Selection (Model-Based Clustering)
MBCVarSel.R
Variable Selection for Model-Based Clustering: Raftery, Dean
A New Variable Weighting and Selection Procedure for K-Means Cluster Analysis Steinley, Brusco

Monday November 16, 2009
Nonparametric Clustering; Cluster Trees; Runt Pruning; Some Stability Comments
NPClust.pdf
Consistency of Single Linkage for High-Density Clusters: Hartigan
Estimating the Cluster Tree of a Density by Analyzing the Mininal Spanning Tree of a Sample Stuetzle
A generalized single linkage method for estimating the cluster tree of a density Stuetzle, Nugent
Clustering with Confidence: A Low-Dimensional Binning Approach Nugent, Stuetzle

Wednesday November 18, 2009
Spectral Clustering
On Spectral Clustering: Analysis and an algorithm: Ng, Jordan, Weiss
Unsupervised Spectral Learning: Shortreed, Meila

Monday November 23, 2009
Association Rules; Binary Variables
Mining Association Rules between Sets of Items in Large Databases: Agreawal, Imielinski, Swami
Association Rules Mining: A Recent Overview: Kotsiantis, Kanellopoulos

Monday November 30, 2009
Comparing Clusterings; Prediction Strength
Details of the Adjusted Rand Index and Clustering Algorithms; Supplement to the paper "An empirical study on Prinicipal Component Analysis for clustering gene expression data" (Bioinformatics): Yeung, Rizzo
Cluster Validation by Prediction Strength Tibshirani, Walther, Botstein, Brown