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614 | Wed, 8/12/2015, 2:00 PM - 3:50 PM | CC-205 | |
Advances in Clustering — Contributed Papers | |||
Section on Statistical Learning and Data Mining , Government Statistics Section , SSC | |||
Chair(s): Xiwei Tang, University of Illinois | |||
2:05 PM | A Pseudo-Supervised Clustering Approach — Xinying Mu, Boston University ; Mark Kon, Boston University | ||
2:20 PM | Noisy Data Clusters Are Hollow — Francois Leonard, Hydro-Quebec | ||
2:35 PM | Model-Based Clustering for Large-Scale Dynamic Networks — Kevin Lee, Penn State ; Lingzhou Xue, Penn State ; David R. Hunter, Penn State | ||
2:50 PM | Clustering of High-Dimensional Categorical Data — Saeid Amiri, University of Nebraska - Lincoln ; Bertrand Clarke, University of Nebraska - Lincoln ; Jennifer Clarke, University of Nebraska - Lincoln | ||
3:05 PM | Optimality of Training/Test Size and Resampling Effectiveness of Cross-Validation Estimators of the Generalization Error — Georgios Afendras, SUNY Buffalo ; Marianthi Markatou, SUNY Buffalo | ||
3:20 PM | Robust Sparse Hierarchical Clustering — Hongyang Zhang, The University of British Columbia ; Andrew Leung, The University of British Columbia ; Ruben Zamar, The University of British Columbia | ||
3:35 PM | Statistical Significance for Hierarchical Clustering — Patrick Kimes, The University of North Carolina at Chapel Hill ; Yufeng Liu, The University of North Carolina ; James Stephen Marron, The University of North Carolina ; D. Neil Hayes, The University of North Carolina at Chapel Hill |
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