Unsupervised Learning 편집하기 (부분)

==Types of Unsupervised Learning Problems==
Unsupervised learning can be divided into several main types, each addressing different data analysis needs:
*'''Clustering''': Grouping similar data points into clusters, such as customer segmentation or document categorization.
*'''Association''': Finding associations between variables, often used in market basket analysis to understand product purchase patterns.
*'''Dimensionality Reduction''': Reducing the number of features to simplify data, often used in preprocessing or for visualization purposes.