Community partitioning over feature-rich networks using an extended k-means method

HIGHLIGHTS

  • who: Soroosh Shalileh and Boris Mirkin from the Center for Language and Brain, HSE University, Myasnitskaya Ulitsa, Moscow, Russia have published the article: Community Partitioning over Feature-Rich Networks Using an Extended K-Means Method, in the Journal: Entropy 2022, 24, 626. of /2022/
  • what: This model has been described in the earlier publications , in which the authors developed a set of double-greedy algorithms. The aim of this paper is to propose a different algorithm to allow processing larger datasets. The experiments show that this approach can indeed recover hidden clusters in feature-rich . . .

     

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