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EOR
2010
99views more  EOR 2010»
14 years 9 months ago
Min sum clustering with penalties
Traditionally, clustering problems are investigated under the assumption that all objects must be clustered. A shortcoming of this formulation is that a few distant objects, calle...
Refael Hassin, Einat Or
STACS
2007
Springer
15 years 3 months ago
Small Space Representations for Metric Min-Sum k -Clustering and Their Applications
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...
Artur Czumaj, Christian Sohler
EVOW
2008
Springer
14 years 11 months ago
Hybrid Metaheuristic for the Prize Collecting Travelling Salesman Problem
The Prize Collecting Traveling Salesman Problem (PCTSP) can be associated to a salesman that collects a prize in each city visited and pays a penalty for each city not visited, wit...
Antonio Augusto Chaves, Luiz Antonio Nogueira Lore...
PR
2010
156views more  PR 2010»
14 years 8 months ago
The hyperbolic smoothing clustering method
It is considered the minimum sum-of-squares clustering problem. The mathematical modeling of this problem leads to a min − sum − min formulation which, in addition to its intr...
Adilson Elias Xavier
EXPCS
2007
14 years 11 months ago
Pipeline spectroscopy
Pipeline Spectroscopy is a new technique that allows us to measure the cost of each cache miss. The cost of a miss is displayed (graphed) as a histogram, which represents a precis...
Thomas R. Puzak, Allan Hartstein, Philip G. Emma, ...