Journal of Computer Science & Systems Biology

Ebere Hezekiah Enekwa

Publications

• Research Article
  k-Means Walk: Unveiling Operational Mechanism of a Popular Clustering Approach for Microarray Data
  Author(s): Victor Chukwudi Osamor, Ezekiel Femi Adebiyi and Ebere Hezekiah EnekwaVictor Chukwudi Osamor, Ezekiel Femi Adebiyi and Ebere Hezekiah Enekwa
  
  Since data analysis using technical computational model has profound influence on interpretation of the final results, basic understanding of the underlying model surrounding such computational tools is required for optimal experimental design by target users of such tools. Despite wide variation of techniques associated with clustering, cluster analysis has become a generic name in bioinformatics and is seen to discover the natural grouping(s) of a set of patterns, points or sequences. The aim of this paper is to analyze k-means by applying a step-by-step k-means walk approach using graphic-guided analysis to provide clear understanding of the operational mechanism of the k-means algorithm. Scattered graph was created using theoretical microarray gene expression data which is a simplified view of a typical microarray experiment data. We designate the cent.. Read More»
  DOI: 10.4172/jcsb.1000098

  Abstract PDF