Interactive and Dynamic Visualisation for Clustering

28 September 2017

Hierarchical clustering enjoys wide popularity because of its fast computation, ease of interpretation, and appealing visualizations via the dendogram and cluster heatmap. Recently, several have proposed and studied convex clustering and biclustering which similar in spirit to hierarchical clustering, achieve cluster merges via convex fusion penalties. While these techniques enjoy superior statistical performance, they suffer from slower computation and are not generally conducive to representation as a dendogram.

 

In this talk, we present new convex (bi)clustering methods and fast algorithms that inherit all of the advantages of hierarchical clustering. Specifically, we develop a new fast approximation and variation of the convex (bi)clustering solution path that can be represented as a dendogram or cluster heatmap. Also, as one tuning parameter indexes the sequence of convex (bi)clustering solutions, we can use these to develop interactive and dynamic visualization strategies that allow one to watch their data form clusters.  

Event details

  • When: 6.00pm - 7.30pm
  • Where: New Law School Lecture Theatre 101
  • Cost: Free
  • Contact: emi.tanaka@sydney.edu.au
  • Speaker/ Performer:

    Dr Genevera Allen is an Associate Professor of Statistics, Computer Science, and Electrical Engineering at Rice University. She is also a member of the Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital and Baylor College of Medicine where she holds a joint appointment. Dr Allen received her PhD in statistics from Stanford University in 2010, under the mentorship of Professor Robert Tibshirani, and her bachelors, also in statistics, from Rice University in 2006.

    Dr Allen's research focuses on developing statistical methods to help scientists make sense of their Big Data in applications such as high-throughput genomics and neuroimaging. Her work lies in the areas of modern multivariate analysis, graphical models, statistical machine learning, and data integration or data fusion. She is the recipient of several honours including a National Science Foundation CAREER Award, the International Biometric Society's Young Statistician Showcase award, and the George R. Brown School of Engineering's Research and Teaching Excellence Award at Rice University. In 2013 and 2014, she represented the American Statistical Association (ASA) a the Coalition for National Science Funding on Capitol Hill and has had her research highlighted on the House floor in a speech by Congressman McNercy (D-CA). In 2014, Dr Allen was named on the "Forbes 30 Under 30 Science and Healthcare" list. Dr Allen currently serves as an Associated Editor for Biometrics, the Secretary and Treasurer for the ASA Section on Statistical Computing, and the Program Chair for the ASA Section on Statistical Learning and Data Science.

  • Sponsored by: The Statistical Society of Australia


Interactive and Dynamic Visualisation for Clustering

Where New Law School Lecture Theatre 101 When

28 September 2017


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