**Cluster analysis**

R. Nugent and W. Stuetzle

**Clustering with confidence: A low-dimensional binning approach.
**In

A. Youn, D.J. Reiss, and W. Stuetzle

**Learning transcriptional networks from the integration of ChIP-chip and
expression data in a nonparametric model.**

Bioinformatics 2010; doi: 10.1093/bioinformatics/btq289

W. Stuetzle and R. Nugent **
A generalized single linkage method for estimating the cluster tree of a
density.
**Journal of Computational and Graphical Statistics, Vol 19, No. 2, 2010, pp.
397--418.

A. Murua, W. Stuetzle, J. Tantrum, and S. Sieberts

**Model based document classification and clustering. **

International Journal of Tomography & Statistics, Vol. 8, No. W08, 2008, pp.
1--24.

PDF

A. Murua, L. Stanberry, and W. Stuetzle

**On Potts model clustering, kernel k-means, and density estimation.**

Journal of Computational and Graphical Statistics, Vol. 17, No. 4, 2008, pp.
629--658.

PDF

W. Stuetzle

**Estimating the cluster tree of a density
by analyzing the
minimal spanning tree of a sample. **

Journal of Classification, Vol. 20, No. 5, 2003, pp. 25-47.

PDF

J. Tantrum, A. Murua, and W. Stuetzle

**Hierarchical model-based clustering of large datasets through
Fractionation and Refractionation.**
Joint work with Proceedings of the 8th
International Conference on Knowledge Discovery and Data Mining (KDD02), 2002,
pp. 183--190.

J. Tantrum, A. Murua, and W. Stuetzle

**Assessment and pruning of hierarchical model-based clustering.**

Proceedings of the 9th
International Conference on Knowledge Discovery and Data Mining (KDD03), 2003,
pp. 197 -- 205.

PDF

**Principal curves and nonlinear principal
components**

T. DeRose, T. Duchamp, H. Hoppe, J.A. McDonald, and W. Stuetzle**
Reconstructing two-dimensional manifolds from scattered data: motivation and
background.**
PDF

T. Duchamp and W. Stuetzle

**Extremal properties of principal curves in the plane**.

Annals of Statistics, Vol. 24, No. 4, 1996, pp. 1511 - 1520.

PDF

T. Duchamp and W. Stuetzle

**Geometric properties of principal curves in the plane.**

In *Robust Statistics, Data Analysis, ad Computer
Intensive Methods*, Helmut Rieder, ed, Springer Lecture Notes in Statistics No. 109,
1995.

PDF

A. Buja, D. Donnell, and W. Stuetzle

**Analysis of additive dependencies and concurvities using smallest additive
principal components**

Discussion paper, Annals of Statistics, Vol. 22, 1994, pp. 1635--1673.

PDF

T. Hastie and W. Stuetzle.

Principal curves

Journal of the American Statistical Association, Vol. 84, 1989, pp. 502-516.

**Unsupervised learning: Estimating the cluster tree of a density from the
minimal spanning tree of a sample.
**
Powerpoint
presentation

**Unsupervised learning: Statistical and computational perspectives.
**Powerpoint presentation

**What are the effects of "Bagging"? Some experimental and theoretical
results.
**Powerpoint presentation

**Generalized single linkage clustering.**
Powerpoint
presentation