We are pleased to invite you to the next seminar within our traditional
Seminar series in Statistics and Data Science

Speaker: Dag Tjøstheim,  Professor Emeritus, University of Bergen

Title:  Statistical embedding: Beyond principal components

When? TUESDAY,  22.11.2022, 14:15-15:15

Where?  Erling Svedrups plass and Zoom https://uio.zoom.us/j/69620306771?pwd=cS9VL3llcXNpUTliS05iMkVpUDhxZz09 

Abstract: 

There  has been an intense recent activity in embedding of very high dimensional and nonlinear data structures, much of it in the data science and machine learning literature. I survey this activity in four parts. In the first part I cover nonlinear methods such as principal curves, multidimensional scaling, ISOMAP; graph based methods and kernel based methods. The second part is concerned with topological embedding methods such as persistence diagrams. Network data are considered in the third part. The task is to embed such data in a vector space such that traditional cluster and classification techniques can be used. In the final part visualization is treated mentioning t-SNE; UMAP and LargeVis. The methods are illustrated and compared on two simulated data sets, one consisting of a triplet of noisy Ranunculoid curves, and one consisting of networks of increasing complexity generated with stochastic block models. This talk is based on joint work with Anders Løland and Martin Jullum at the Norwegian Computing Center.

Welcome!

Best regards,

Sven Ove Samuelsen & Aliaksandr Hubin