Enabling search result clustering with Carrot2

Carrot2 is an application suite to provide document cluster on top of your dataset. It analyzes a set of documents and classifies them into multiple groups based on similarity. The similarities between the documents on various aspects can be used to cluster the documents in different groups. Cluster analysis is very useful, because it provides automatic categorization of your information so that users can browse a flat information model hierarchically.

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Cluster analysis techniques are useful in organization for statistical analysis. For example, a cluster analysis over the customer database enables an organization to classify the customers based on different patterns and plan the future strategies to improve upon the sales. Such analysis can be done using different algorithms research done by many statisticians. Among the famous ones are partitioning and hierarchy based.

Carrot2 is BSD licensed, and it can be utilized with any search engine...