I'm exploring the downsides of using Gaussian Mixture Models (GMM). I'm particularly interested in understanding the potential limitations or drawbacks associated with this approach.
            
            
            
            
            
            
           
          
          
            5 answers
            
            
  
    
    SamsungShineBrightness
    Sat Nov 16 2024
   
  
    A limitation of Gaussian Mixture Models (GMMs) lies in their fundamental assumption.
  
  
 
            
            
  
    
    Michele
    Sat Nov 16 2024
   
  
    They presume that the data is produced by a blend of Gaussian distributions.
  
  
 
            
            
  
    
    MysticEchoFirefly
    Sat Nov 16 2024
   
  
    In practical situations, this may not always hold true.
  
  
 
            
            
  
    
    KpopHarmonySoulMateRadiance
    Fri Nov 15 2024
   
  
    This hypothetical framework can impede the model's capacity to precisely mirror real-world data.
  
  
 
            
            
  
    
    Starlight
    Fri Nov 15 2024
   
  
    Consequently, GMMs might exhibit less-than-optimal functionality in specific areas.