Generalized unsupervised clustering of hyperspectral images of geological targets in the near infrared

AF Gao, B Rasmussen, P Kulits… - Proceedings of the …, 2021 - openaccess.thecvf.com
The application of infrared hyperspectral imagery to geological problems is becoming more
popular as data become more accessible and cost-effective. Clustering and classifying …

Toward perception-based evaluation of clustering techniques for visual analytics

M Aupetit, M Sedlmair, MM Abbas… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
Automatic clustering techniques play a central role in Visual Analytics by helping analysts to
discover interesting patterns in high-dimensional data. Evaluating these clustering …

MMCo-Clus – An Evolutionary Co-clustering Algorithm for Gene Selection

L Cui, S Acharya, S Mishra, Y Pan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In the era of Big Data, cluster analysis of high-dimensional data sets often suffers from the
Curse of dimensionality. To overcome this problem, the dimensionality reduction through …

Multi-view feature selection for identifying gene markers: a diversified biological data driven approach

S Acharya, L Cui, Y Pan - BMC bioinformatics, 2020 - Springer
Background In recent years, to investigate challenging bioinformatics problems, the
utilization of multiple genomic and proteomic sources has become immensely popular …

A consensus multi-view multi-objective gene selection approach for improved sample classification

S Acharya, L Cui, Y Pan - BMC bioinformatics, 2020 - Springer
Background In the field of computational biology, analyzing complex data helps to extract
relevant biological information. Sample classification of gene expression data is one such …

Community detection in node attributed networks: A late-fusion approach

C Liu - 2019 - era.library.ualberta.ca
With the burgeoning of online social media and the deluge of information in today's “big
data” era, traditional community mining that relies on the connections of the nodes no longer …