H-BLOB: a hierarchical visual clustering method using implicit surfaces

Abstract

We present a new hierarchical clustering and visualization algorithm called H-BLOB, which groups and visualizes cluster hierarchies at multiple levels-of-detail. Our method is fundamentally different to conventional clustering algorithms, such as C-means, K-means, or linkage methods that are primarily designed to partition a collection of objects into… (More)
DOI: 10.1145/375213.375219

Topics

Statistics

051015'01'03'05'07'09'11'13'15'17
Citations per Year

93 Citations

Semantic Scholar estimates that this publication has 93 citations based on the available data.

See our FAQ for additional information.

  • Presentations referencing similar topics