Machine Learning: Unsupervised Learning

Using PCA and Clustering To Analyze Genes and Leukemia

A real-life application of unsupervised learning

Leihua Ye, PhD
Towards Data Science
4 min readOct 23, 2019

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Photo by NASA on Unsplash

In the world of Machine Learning, unsupervised learning is the process of drawing inference without labeled outcomes. Principal Component Analysis (PCA) and Clustering are two common unsupervised…

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Senior Data Scientist @ Walmart; PhD @ University of California. Data Science | A/B Test & Causal Inference | Career www.linkedin.com/in/leihuaye