Explaining K-Means Clustering

Comparing PCA and t-SNE dimensionality reduction techniques when clustering to identify employee subgroups

Kamil Mysiak
Towards Data Science
31 min readJul 13, 2020

--

I’m proud to live in Chicago :)
Photo by Eric Muhr on Unsplash

Today’s data comes in all shapes and sizes. NLP data encompasses the written word, time-series data tracks sequential data movement over time (ie. stocks), structured data which allows computers to learn by example, and unclassified data…

--

--