Pollard, David A central limit theorem for k-means clustering. (English) Zbl 0502.62055 Ann. Probab. 10, 919-926 (1982). Page: −5 −4 −3 −2 −1 ±0 +1 +2 +3 +4 +5 Show Scanned Page Cited in 3 ReviewsCited in 67 Documents MSC: 62H30 Classification and discrimination; cluster analysis (statistical aspects) 60F05 Central limit and other weak theorems 60F17 Functional limit theorems; invariance principles 60B05 Probability measures on topological spaces 60G60 Random fields Keywords:k-means clustering; asymptotic normality; minimized within cluster sum of squares; differentiability in quadratic mean; Donsker classes of functions; empirical processes Citations:Zbl 0377.62033; Zbl 0468.60009 × Cite Format Result Cite Review PDF Full Text: DOI