A single type of machine learning algorithm can be used to identify fake news, filter spam, and personalize marketing materials. Known as clustering algorithms, or “clustering” for short, they ...

Clustering can be done using various algorithms such as k-means, hierarchical clustering, density-based spatial clustering of applications with noise (DBSCAN) and Gaussian mixture model (GMM) ...

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

A new study introduced a machine learning-powered clustering model that incorporates both basic features and target properties, successfully grouping over 1,000 inorganic materials.

Algorithms that perform regression, classification or clustering are examples of common machine learning tasks.

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Want to understand how machine learning impacts search? Learn how Google uses machine learning models and algorithms in search.

Cluster analysis, a commonly used machine-learning technique, uses these basic features to not only categorize materials and summarize similarities between them but also provide information ...