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EOR
2010
99views more  EOR 2010»
13 years 4 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
13 years 11 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
13 years 6 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»
13 years 3 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
13 years 6 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, ...