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Text Document Cluster Analysis Through Visualization of 3D Projections
[chapter]
2014
Studies in Big Data
Clustering has been used as a tool for understanding the content of large text document sets. As the volume of stored data has increased, so has the need for tools to understand output from clustering algorithms. We developed a new visual interface to meet this demand. Our interface helps non-technical users understand documents and clusters in massive databases (e.g., document content, cluster sizes, distances between clusters, similarities of documents within clusters, extent of cluster
doi:10.1007/978-3-642-45252-9_15
fatcat:qqcre6popbaylffnklmjxxd7aa