The explosion of data in the information age has provided an opportunity to explore the
possibility of characterizing the climate patterns using data mining techniques. Nigeria has a …

Improved data visualization will be a significant tool to enhance cluster analysis. In this
paper, an information-theoretic-based method for cluster visualization using self-organizing …

Background High-dimensional biomedical data are frequently clustered to identify subgroup
structures pointing at distinct disease subtypes. It is crucial that the used cluster algorithm …

Lipid signaling has been suggested to be a major pathophysiological mechanism of multiple
sclerosis (MS). With the increasing knowledge about lipid signaling, acquired data become …

Multidimensional transfer functions can perform more sophisticated classification of
volumetric objects compared to 1-D transfer functions. However, visualizing and …

Genes causally involved in human insensitivity to pain provide a unique molecular source of
studying the pathophysiology of pain and the development of novel analgesic drugs. The …

The present study devises mapping methodologies and projection techniques that visualize
and demonstrate biological sequence data clustering results. The Sequence Data Density …

A study of free vibration of orthotropic circular cylindrical shells is presented. The vibration
control equations of shells are based on Flügge classical thin shell theory. Wave approach …

Without a form of visual feedback, multivariate data would be reduced to a lump of numbers
that very few people would be able to appreciate and be benefited from. This research paper …

We propose a new similarity measure, Combined Connectivity and Spatial Adjacency
(CCSA), to be used in hierarchical agglomerative clustering (HAC) for automated …