Research Group

Current Students

Andy Qui Le

Probabilistic Distance Clustering for Matrix-Variate Data

Quoc Luong Huynh

Flexible model-based clustering for mixed-type data

Brenda Lopez

Handling missing data in model-based clustering with covariates using the shifted

exponential distribution

Rajiv Iyengar

Missing data in model-based clustering with heavy tailed distributions

Shaam Madhvani

Transforming mixed-type data

Past Students 

Ruijuan Niu

High-Dimensional Data Analysis Using the Generalized Hyperbolic Distribution

Yitian Quian

High-Dimensional Data Analysis Using the Contaminated Normal Distribution

Felix Mbuga

Spectral Clustering of Mixed-Type Data

Zander Bonnet

An R package to cluster mixed-type data using spectral clustering (undergraduate)

Tran  Quyen Nhi

Model selection in robust clustering (undergraduate)

Hung Tong 

Mixture Models for Outlier Detection and Missing Value Imputation 

Jeremy Walker

Modeling Cyclists Waiting time

Xin Zhang

Outlier Detection and Missing Value Imputation Using Mixture Models

Nivedha Murugesan

Evaluation of Different Coordinated Ramp Metering (CRM) Systems 

Mangyuan Ren

Classification via a family of Parsimonious Generalized Hyperbolic Mixtures

Noe Vidales

 Flexible Clustering Methods for Mixed Data

Christopher D. Rainey

 An Implementation of the Probabilistic distance algorithm for mixtures of Student's t-distributions

Visiting Students

Incoming

Rita Quaglietta from University of Naples Federico II, March 2020

Mario Migliaccio from University of Naples Federico II, September 2018

Outgoing

Noe Vidales to University of Naples Federcio II, June 2019

Conference Proceedings

C. Rainey, C. Tortora and F. Palumbo. Probabilistic distance algorithm generalization to Student's t mixtures In book of short papers of JSC-CLADAG 17, 2017.

Conference Presentations 

Louis Tran: How Many Clusters Are Best? Investigating Model Selection in Robust Clustering , August 2021: JSM Joint Statistical meeting,  online

Hung Tong: Clustering and Directional Outlier Detection with Missing Information, August 2021: JSM Joint Statistical meeting,  online 

Felix Mbudga: Spectral Clustering of Mixed-type Data, June 2021: Symposium on Data Science and Statistics,  online

Hung Tong: Cluster analysis and outlier detection with missing data, September 2020, online Model based clustering and classification 2 (MBC2).

Nivedha Murugesan: Before-After Analysis of Freeway Corridor Efficiency following Adaptive Ramp Metering Deployment: An Empirical Bayes Approach, Transportation Research Board, 12-16  January 2020, Washington DC USA.

Madhumita Roy, Jarrett Jimeno: Benchmarking in cluster analysis for mixed-type data, IFCS, 26-29 August 2019, Thessaloniki, Greece 

Jingfei Gong, Yuwen Luo: Comparison of dimensionality reduction and cluster analysis methods for high dimensional datasets, IFCS, 26-29 August 2019, Thessaloniki, Greece 

Irene Cho, Nivedha Murugesan: K-means, Spectral Clustering, or DBSCAN: A Benchmarking Study, IFCS, 26-29 August 2019, Thessaloniki, Greece 

Min Fang and Hung Tong: Active Labeling  using Model Based Classification, Symposium on Data Science & Statistics, May 30 2019, Bellevue, WA, USA

Mengyuan  Ren: Classification via aFamily of Parsimonious GeneralizedHyperbolic Mixtures, Classification Society meeting, June 21 2018, Stony Brook, NY, USA

Christopher  Rainey: A Probabilistic Distance Algorithm forStudent t Mixture Parameter Estimation, Classification Society meeting, June 21 2017, Santa Clara, CA, USA

Fengmei Liu, Suchara Gupta: Cluster correspondence analysis and reduced K-means: A two-step approach to cluster low back pain patients, IFCS, 8-10 August 2017, Tokyo, Japan 

Joey Fitch, Nazia Khan: Medical Back Pain: A Spectral Clustering Approach, IFCS, 8-10 August 2017, Tokyo, Japan 

Le Phan, Hongzhe Liu: K-means Clustering on Multiple Correspondence Analysis Coordinates, IFCS, 8-10 August 2017, Tokyo, Japan