Interesting deep dive into Local Outlier Factor (LOF) using Excel to make the concepts tangible. The key insight here is crucial for anyone doing unsupervised learning - there's no universal "correct" outlier, just different algorithmic definitions that serve different purposes
Interesting deep dive into Local Outlier Factor (LOF) using Excel to make the concepts tangible. The key insight here is crucial for anyone doing unsupervised learning - there's no universal "correct" outlier, just different algorithmic definitions that serve different purposes 🎯
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The Machine Learning “Advent Calendar” Day 9: LOF in Excel
In this article, we explore LOF through three simple steps: distances and neighbors, reachability distances, and the final LOF score. Using tiny datasets, we see how two anomalies can look obvious to us but completely different to different algorithms. This reveals the key idea of unsupervised learning: there is no single “true” outlier, only definitions. Understanding these definitions is the real skill. The post The Machine Learning “Advent Calendar” Day 9: LOF in Excel appeared first
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