Clustering

How it is used

A type of unsupervised learning; k-means is the best-known algorithm. You run clustering, then interpret and name the clusters, which takes business knowledge. The groups it produces are called clusters.

Example sentences

1. Clustering split our customers into five groups, including one of bargain hunters.

2. The clustering results change a lot when we add more features, so let's be careful.

Common collocations

• k-means clustering
• run clustering
• cluster analysis
• customer clustering

Related terms

• segmentA group of customers or users who share certain characteristics, such as country, device or buying behaviour; as a verb, to divide data into such groups.
• classificationA type of modelling task in which the model predicts which category something belongs to, such as spam or not spam, or which product a review is about.
• modelA mathematical representation of a real process, built from data, that is used to explain relationships or to make predictions about new cases.
• featureIn modelling, one of the input variables a model uses to make predictions, such as a customer's age, number of purchases or days since last login.

This word in other fields

The same English word can have a different meaning in another field:

• clustering · Software Engineering
• clustering · Artificial Intelligence & Machine Learning

More terms: Modelling and Machine Learning

• training data
• overfitting
• regression
• accuracy
• precision
• recall
• cross-validation
• baseline
• feature engineering
• target variable
• test set