Patents Assigned to Perspicamus Ab
  • User-controlled iterative sub-clustering of large data sets guided by statistical heuristics
    Publication number: 20180365279
    Abstract: The current invention is related to data analysis, and in particular, various methods for cluster analysis. It provides a method that aims to summarize and illustrate an original data set by means of breaking it iteratively into sub-divisions, altogether comprising a hierarchical cluster structure.
    Type: Application
    Filed: June 18, 2018
    Publication date: December 20, 2018
    Applicant: Perspicamus Ab
    Inventor: Mauri KAIPAINEN