Clustering Massive Datasets With Applications in Software Metrics and Tomography.

Presents a study which developed a multistage algorithm that clusters datasets and filters out observations classified by these clusters. Categories of clustering algorithms; Overview of two case studies in the applied sciences that would benefit from the methodology for clustering data; Methodology used in the study; Application of the clustering method to software and tomography datasets.