PMI Cognitive Project Management in AI CPMAI v7 - Training & Certification CPMAI_v7 Question # 8 Topic 1 Discussion
CPMAI_v7 Exam Topic 1 Question 8 Discussion:
Question #: 8
Topic #: 1
You have an Anomaly Detection project you’re working on and you need a simple approach of clustering data into classified groups. Which algorithm is the best choice given this situation?
Clustering is defined as “an unsupervised process that partitions data into groups (clusters) based on similarity without preassigned labels.” K-Means is the canonical unsupervised clustering algorithm, iteratively assigning points to K centroids to minimize within-cluster variance. This makes K-Means the simplest and most direct choice for grouping data in an anomaly-detection context.
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