Can you explain how unsupervised learning algorithms operate? I'm curious about the underlying mechanisms and methodologies they employ to analyze data without labeled outputs. What are the key principles that guide their functionality, and how do they differentiate themselves from supervised learning approaches in terms of effectiveness and application?
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