klastrianalüüsi
Klastrianalüüsi, known in English as cluster analysis, is a statistical method used to group a set of objects in such a way that objects in the same group (called a cluster) are more similar to each other than to those in other groups. It is an exploratory data analysis technique and is not a supervised learning algorithm, meaning it does not require pre-defined categories. The goal is to discover inherent groupings within the data.
The similarity or dissimilarity between objects is typically measured using a distance metric, such as Euclidean
Applications of klastrianalüüsi are widespread across various fields. In marketing, it is used for customer segmentation