10 citations · 21 across the 7 of their papers we have counts for
8 papers
NVE: A Separability and Coverage-Aware Internal Validation Metric for Biclustering
Paritosh Tiwari, I Navin Kumar, James C. Bezdek +1
Biclustering, or co-clustering, aims to discover coherent submatrices by grouping rows and columns of a data matrix simultaneously. This local two-dimensional structure makes valid…
StreamSoNG: A Soft Streaming Classification Approach
Wenlong Wu, James M. Keller, Jeffrey Dale +1
Examining most streaming clustering algorithms leads to the understanding that they are actually incremental classification models. They model existing and newly discovered structu…
ConiVAT: Cluster Tendency Assessment and Clustering with Partial Background Knowledge
Punit Rathore, James C. Bezdek, Paolo Santi +1
The VAT method is a visual technique for determining the potential cluster structure and the possible number of clusters in numerical data. Its improved version, iVAT, uses a path-…
A Scalable Framework for Trajectory Prediction
Punit Rathore, Dheeraj Kumar, Sutharshan Rajasegarar +2
Trajectory prediction (TP) is of great importance for a wide range of location-based applications in intelligent transport systems such as location-based advertising, route plannin…
Online Cluster Validity Indices for Streaming Data
Masud Moshtaghi, James C. Bezdek, Sarah M. Erfani +2
Cluster analysis is used to explore structure in unlabeled data sets in a wide range of applications. An important part of cluster analysis is validating the quality of computation…
An ensemble-based online learning algorithm for streaming data
Tien Thanh Nguyen, Thi Thu Thuy Nguyen, Xuan Cuong Pham +2
In this study, we introduce an ensemble-based approach for online machine learning. The ensemble of base classifiers in our approach is obtained by learning Naive Bayes classifiers…