We just launched our courses -> Start learning today ✨

Join
Login

Gaussian Mixture Models (GMM)

ML Models & Algorithms
A distribution-based model that summarizes a multivariate probability density function with a mixture of Gaussian distributions. More flexible than k-means.

GMM is a distribution-based soft clustering model that assumes data is composed of a mixture of probabilistic distributions, typically Gaussian distributions. It is noted for providing flexibility that traditional centroid-based methods (like K-Means) lack. GMM is utilized for tasks such as image segmentation and analysis of customer behavior.

Related Concepts

Unsupervised Learning Clustering (ML Task) Machine Learning (ML) Topic Modeling

Sources & References

Introduction to Machine Learning for SEOs Course
academy.mlforseo.com

Explore other ML Models & Algorithms terms

B
BERT (Bidirectional Encoder Representations from Transformers)
The foundational language model used for transformer-based embeddings in BERTopic.
B
BERTopic
An unsupervised machine learning approach for topic modeling that generates interpretable topics and performs dynamic…
B
BERTopic
An unsupervised machine learning approach for topic modeling that generates interpretable topics and performs dynamic…
B
BIRCH (Balanced Iterative Hierarchical Based Clustering)
A hierarchical clustering method efficient for large datasets and time series.
B
Boyer-Moore
An exact string-matching algorithm and one of the best-known pattern recognition algorithms.
C
c-TF-IDF
Class-based Term Frequency-Inverse Document Frequency; used by BERTopic for clearer topic representation and selection of…
D
DBSCAN
Density-Based Spatial Clustering of Applications with Noise; groups data points based on density. Useful for…
D
Decision Tree
An early, simple model for classification or regression.
D
Distance-based matching
Fuzzy matching methods focusing on "edit distance" rather than exact spelling.
D
DistilBERT (Refined Query Semantic Class Classifier)
A fine-tuned BERT model used for semantic class classification based on queries.
E
Encoder Model
A machine learning model used in Google's two-step process for building and maintaining the Knowledge…
F
Fuzzy Matching / Fuzzy String Matching
A string similarity assessment approach, typically relying on character distance rather than semantics, used to…