无监督学习最适合哪种任务？Which task would unsupervised learning be best suited for?

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BlackTom AI · Accepted Answer

The question asks which task unsupervised learning is best suited for. 
Option 1: Learning spatial relations of a dataset. This is a classic unsupervised task, since it involves discovering structure, patterns, or clusters in data without using labeled outputs. Techniques like clustering, dimensionality reduction, and manifold learning aim to reveal spatial or geometric relationships in the data. 
Option 2: Labeling data samples. Labeling requires ground-truth annotations provided by humans or another supervisor, which is a supervised learning activity rather than unsupervised. 
Option 3: Object recognition. Object recognition typically relies on labeled images and supervised learning to map visual input to object categories, though there are unsupervised pretraining steps, the core task is usually supervised. 
Option 4: Learning from demonstration. Learning from demonstration (imitation learning) is a paradigm that relies on expert demonstrations as supervisory signals, so it falls under supervised or semi-supervised learning approaches, not purely unsupervised learning. 
Thus, among the options, discovering spatial relationships within the data aligns with unsupervised techniques, while the others depend on labeled data or explicit supervision.

2025FallB-X-CSE571-78760 模块 1: 机器学习简介知识检查 Module 1: Intro to Machine Learning Knowledge Check

无监督学习最适合哪种任务？Which task would unsupervised learning be best suited for?

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