Unsupervised_learning
Unsupervised learning knowledge and experiences
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Unsupervised learning knowledge and experiences
Last updated
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One thing to note is that itβs often easiest to form clusters when you have low-dimensional data. For example, it can be difficult, and often noisy, to get good clusters from data that has over 100 features. In high-dimensional cases, there is often a dimensionality reduction step that takes place before data is analyzed by a clustering algorithm.