Detection of irregular-shaped clusters on a network by controlling the shape compactness with a penalty function

HIGHLIGHTS

  • who: Ryo Inoue from the Department of Humanu2011Social Information Sciences, University, Sendai, u20118579, Japan have published the paper: Detection of irregular-shaped clusters on a network by controlling the shape compactness with a penalty function, in the Journal: (JOURNAL)
  • what: This study proposes a cluster detection method that can identify irregular-shaped clusters of features that are confined by and formed along an urban street network. The aim of this approach is to provide options that may increase the chance of detecting clusters that are closer to the shape and extent of true clusters. One . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?