Anzahl der Publikationen: 2
	Zeitschriftenartikel
Konferenzbeitrag
    Beer, Anna  ORCID: https://orcid.org/0000-0002-6890-997X; Draganov, Andrew
ORCID: https://orcid.org/0000-0002-6890-997X; Draganov, Andrew  ORCID: https://orcid.org/0000-0002-1617-4166; Hohma, Ellen
ORCID: https://orcid.org/0000-0002-1617-4166; Hohma, Ellen  ORCID: https://orcid.org/0000-0002-5235-6856; Jahn, Philipp
ORCID: https://orcid.org/0000-0002-5235-6856; Jahn, Philipp  ORCID: https://orcid.org/0009-0002-0059-9183; Frey, Christian M.M.
ORCID: https://orcid.org/0009-0002-0059-9183; Frey, Christian M.M.  ORCID: https://orcid.org/0000-0003-2458-6651 und Assent, Ira
ORCID: https://orcid.org/0000-0003-2458-6651 und Assent, Ira  ORCID: https://orcid.org/0000-0002-1091-9948
  
(2023):
		Connecting the Dots -- Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering.
	
	  29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Long Beach, CA, 06. - 10. August 2023.
	  
	 
	  
	   Singh, Ambuj (Hrsg.):  
	  
	  
	  
	  In: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,   
	  
	  
	  
	  
	  
	  New York: Association for Computing Machinery. S. 80-92
	
  
      
        
          
             [PDF, 2MB]
ORCID: https://orcid.org/0000-0002-1091-9948
  
(2023):
		Connecting the Dots -- Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering.
	
	  29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Long Beach, CA, 06. - 10. August 2023.
	  
	 
	  
	   Singh, Ambuj (Hrsg.):  
	  
	  
	  
	  In: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,   
	  
	  
	  
	  
	  
	  New York: Association for Computing Machinery. S. 80-92
	
  
      
        
          
             [PDF, 2MB]
          
        
      
 
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