ts-ims

k-means cluster analysis

K-means cluster analysis is an unsupervised machine learning algorithm that partitions a dataset into k pre-defined, distinct, non-overlapping subgroups (clusters). It is used for pattern recognition in risk management, such as fraud detection and asset classification, aligning with data analysis principles in frameworks like ISO/IEC 27001.

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