This is the demo application of the Carrot2 clustering engine. It uses Carrot2's algorithms to organize search results into thematic folders.
User interfaces
Web Search Clustering organizes search results from public search engines into clusters; offers treemap- and pie-chart visualizations of the clusters.
Clustering Workbench clusters content from local files in JSON or Excel format, Solr or Elasticsearch; allows tuning of clustering parameters and exporting results as Excel or JSON.
Search engines
Web: web search results provided by etools.ch. Extensive use may require special arrangements with the owner of the etools.ch service.
PubMed: abstracts of medical papers from the PubMed database provided by NCBI.
Local file: content read from a local file in Carrot2 XML, JSON, CSV or Excel format.
Solr: queries an Apache Solr instance.
Elasticsearch: queries an Elasticsearch instance.
Clustering algorithms
Lingo: creates well-described flat clusters. Does not scale beyond a few thousand search results. Available as part of the open source Carrot2 framework.
STC: the classic search results clustering algorithm. Produces flat cluster with adequate description, very fast. Available as part of the open source Carrot2 framework
k-means: base line clustering algorithm, produces bag-of-words style cluster descriptions. Available as part of the open source Carrot2 framework
