Most of us want to build a model as accurate as possible, however, an experienced chief data scientist believes a practical machine learning algorithm should randomly shuffle the results, therefore non-optimal results. This is known as "Results Dithering". Slide 15 at:
Does anyone know a key reference for citing the kmeans clustering technique: en.wikipedia.org/wiki/K-means_clustering? I want to cite this method, but I am not sure what would be a good scientific article to reference it. I'm using it in the context of clustering univariate data (for class interval definition) for map representation. Tks.
@Dawny33: Since you drew our attention to the question it's been edited to reveal that the context is recommendation engines. So perhaps it's just that you don't want to keep showing someone the same thing again & again.
@AndreSilva, here is a classic w/ lots of references: [Data clustering: 50 years beyond K-means](http://www.sciencedirect.com/science/article/pii/S0167865509002323). It says k-means "was independently discovered in different scientific fields by Steinhaus (1955), Lloyd (1957), Ball & Hall (1965) and McQueen (1967)".