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.