Scanned document images are nowadays becoming available in increasingly higher resolutions. Meanwhile, the variations in image quality within typical document collections increase...
Iuliu Konya Konya, Christoph Seibert, Stefan Eicke...
The min-sum k-clustering problem is to partition a metric space (P, d) into k clusters C1, . . . , Ck ⊆ P such that k i=1 p,q∈Ci d(p, q) is minimized. We show the first effi...