ARTIFICIAL INTELLECT TECHNOLOGIES BASED ON WEB DOCUMENT OBJECTS CLUSTERING PROGRESSIVE METRIC MODELS AND ALGORITHMS

Authors

  • Mominov B.B Tashkent University of Information Technologies named after Muhammad al-Khwarizmi Author
  • Husanov Sh.A. Tashkent University of Information Technologies named after Muhammad al-Khwarizmi Author

Keywords:

artificial intelligence, clustering, web document, object, similarity, metric, distance function, algorithm.

Abstract

This in the article artificial intellect from technologies used without web document objects clustering progressive​ metric models and algorithms working The study was published in web of documents internal structure , semantic connections and link networks analysis made, their each other similarity​ level metric distance functions using is determined. Proposal done approach web documents rating automatic evaluation, semantic analysis deepening and information classification process optimization opportunity gives.

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Published

2026-02-11