A GMM, or Gaussian Mixture Model, is a probabilistic model that assumes all data points are generated from a mixture of several Gaussian distributions with unknown parameters.
6 answers
SilenceStorm
Wed Nov 06 2024
It serves as a powerful tool to ascertain the likelihood of each data point's association with a specific cluster.
SakuraBlooming
Wed Nov 06 2024
A Gaussian mixture model (GMM) represents a significant advancement in the field of machine learning.
CryptoBaroness
Tue Nov 05 2024
This model employs a probabilistic approach, which makes it distinct from traditional clustering methods.
DongdaemunTrendsetterStyle
Tue Nov 05 2024
GMM operates within the realm of unsupervised learning, enabling it to process data without requiring predefined labels.
Ilaria
Tue Nov 05 2024
As a soft clustering method, GMM assigns probabilities rather than definitive assignments to data points, reflecting the complexity of real-world datasets.