no code implementations • 1 Oct 2020 • Wenlong Wu, James M. Keller, Jeffrey Dale, James C. Bezdek
Incoming data is normally assigned a crisp label (into one of the structures) and that structure's footprint is incrementally updated.
no code implementations • 21 Aug 2020 • Punit Rathore, James C. Bezdek, Paolo Santi, Carlo Ratti
We demonstrate ConiVAT approach to visual assessment and single linkage clustering on nine datasets to show that, it improves the quality of iVAT images for complex datasets, and it also overcomes the limitation of SL clustering with VAT/iVAT due to "noisy" bridges between clusters.
no code implementations • 10 Jun 2018 • Punit Rathore, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Palaniswami, James C. Bezdek
To address these limitations, we propose a scalable clustering and Markov chain based hybrid framework, called Traj-clusiVAT-based TP, for both short-term and long-term trajectory prediction, which can handle a large number of overlapping trajectories in a dense road network.
no code implementations • 8 Jan 2018 • Masud Moshtaghi, James C. Bezdek, Sarah M. Erfani, Christopher Leckie, James Bailey
An important part of cluster analysis is validating the quality of computationally obtained clusters.
no code implementations • 26 Apr 2017 • Tien Thanh Nguyen, Thi Thu Thuy Nguyen, Xuan Cuong Pham, Alan Wee-Chung Liew, James C. Bezdek
In this study, we introduce an ensemble-based approach for online machine learning.
no code implementations • 17 Jun 2016 • Yang Lei, James C. Bezdek, Simone Romano, Nguyen Xuan Vinh, Jeffrey Chan, James Bailey
For example, NCinc bias in the RI can be changed to NCdec bias by skewing the distribution of clusters in the ground truth partition.