Package index

Greedy selection

Farthest-first (Gonzalez) selection and its seeding strategies.

FarFirst()

Greedy farthest-first point selection

PickPoint()

Seed to initialize farthest-first selection

Max-Min diversity problem solvers

DropAdd()

DropAdd Tabu Search for the Max-Min Diversity Problem

Grasp()

GRASP with Path Relinking for the Max-Min Diversity Problem

ExactMaxMin()

Exact Max-Min Diversity Problem solution

Max-Sum diversity problem solver

ExactMaxSum()

Exact Maximum Diversity Problem (max-sum) solution

Max-Mean dispersion problem solver

MaxMean()

Max-Mean Dispersion Problem solver

k-centre solvers

KCentre() KCenter()

Discrete k-centre solver

ExactKCentre() ExactKCenter()

Exact discrete k-centre optimum

Maximum-entropy (maxdet) selection

MaxEntropy()

Maximum-entropy (maxdet) subset selection

Scoring

MinDist()

Minimum pairwise distance within a selection

MeanDist()

Mean dispersion of a selection

KCentreRadius() KCenterRadius()

Covering radius of a set of centres

Reporting

format(<MaxMinSelection>) print(<MaxMinSelection>)

Format and print Coreset solver results

format(<KCentreSelection>) print(<KCentreSelection>) format(<KCentreExact>) print(<KCentreExact>)

Format and print k-centre solver results

format(<MaxEntropySelection>) print(<MaxEntropySelection>)

Format and print maximum-entropy (maxdet) solver results

format(<MaxMeanSelection>) print(<MaxMeanSelection>) summary(<MaxMeanSelection>)

Format and print Max-Mean solver results

format(<MaxSumSelection>) print(<MaxSumSelection>)

Format and print Max-Sum (maximum diversity) solver results

summary(<MaxMinSelection>)

Detailed summaries of Coreset solver results