On information granulation via data clustering for granular computing-based pattern recognition: a graph embedding case study

HIGHLIGHTS

  • who: Alessio Martino and collaborators from the Department of Business and Management, LUISS University, Viale Romania, Rome, Italy have published the article: On Information Granulation via Data Clustering for Granular Computing-Based Pattern Recognition: A Graph Embedding Case Study, in the Journal: Algorithms 2022, 15, 148. of /2022/
  • what: The authors show comparison between different strategies for the automatic synthesis of information granules in the context of classification. The aim of the stratified extractor is to build the bucket B as a set-of-sets B={B ,..., B ( p) }, with p being the number of . . .

     

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