Deep Web Tech Blog

Explorit now features visual clustering

Our clustering engine has always been among our customers’ favorite features. We introduced the feature and its tremendous value in discovering documents in our “Clusters That Think” article.

One of the most interesting features of our Explorit search product is our clustering engine, which analyzes results and produces “clusters” that represent a new and powerful way to navigate search results. The true power of these clusters is often overlooked, for they superficially resemble the output generated by the keyword-based systems and fixed taxonomies of other search engines. Our clustering technology, however, is more akin to a document-discovery engine, which provides a significant improvement over the alternatives in the library world.

Clustering is particularly powerful because, as our original article on the subject explains, “users think in concepts, not keywords.” Extending this line of thinking, we believe that many people think in pictures and not in lists and sublists of text so we introduced visual clustering to our Explorit feature set.

Here is a screenshot of a visual cluster of results for the search term “satellite communications.”
Mednar, and at the science portals Science.gov and WorldWideScience.org as well.