Cluster analysis
Cluster analysis or clustering is a way of comparing data by splitting it into groups of similar data points. These groups are called clusters.
Cluster analysis or clustering is a way of comparing data by splitting it into groups of similar data points. These groups are called clusters.
There are many algorithms to put data into clusters. Clustering algorithms can use different ways of measuring similarity between data points.[1] As a result, different clustering algorithms can get different clusters on the same data.
References
- ↑ Estivill-Castro, Vladimir (June 2002). "Why so many clustering algorithms: a position paper". ACM SIGKDD Explorations Newsletter. 4 (1): 65–75. doi:10.1145/568574.568575.
Further reading
- Ezugwu, Absalom E.; Ikotun, Abiodun M.; Oyelade, Olaide O.; Abualigah, Laith; Agushaka, Jeffery O.; Eke, Christopher I.; Akinyelu, Andronicus A. (1 April 2022). "A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects". Engineering Applications of Artificial Intelligence. 110 104743. doi:10.1016/j.engappai.2022.104743.
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