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Greedy algorithm for Set Cover problem

version 1.1 (4.22 KB) by

The well known greedy algorithm for solving Set Cover problem, with a few changes

Updated

This function contains the well known greedy algorithm for solving Set Cover problem (Chvátal, 1979), with two small modifications:
* In case of more than one possible choice at a certain step, the biggest set is chosen;
* Once the solution is found, we check the selected sets to find a better cover solution, removing a set if is a subset of the union of the other set.

If you use this code, please cite the article for which it was implemented:
F. Gori, G. Folino, M.S.M. Jetten, E. Marchiori
"MTR: Taxonomic annotation of short metagenomic reads using clustering at multiple taxonomic ranks", Bioinformatics 2010.
doi = 10.1093/bioinformatics/btq649

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GREEDYSCP Greedy SCP algorithm.
[SolC,SolL] = GREEDYSCP(C, L) if C is an array, creates a cell array SolC that is a solution of Set Cover Problem defined by C, where C{i} = S_i, an input set made by some of the elements we want to cover; SolC is made by the cells of C selected by the algorithm. The elements that we want to cover are indicates by numbers from 1 to n, where n is the number of elements we want to cover; therefore, C{i} is a vector of integers between 1 and n.

If C is a logical or numerical array of n rows, where C(j,i) > 0 iff element j is contained in set S_i, the output SolC will be a logical array made by the column of log(C) corresponding to the solution

If a vector L of integer labels of the elements of C is provided, SolL contains the labels corresponding to SolC. Otherwise SolL contains the positions of elements of SolC in C. SolC and SolL elements are sorted in ascending order of SolL.

Lince Varghese

Reem Allam

Reem Allam (view profile)

How should be input setslabel ?

prety krishnamoorthy

prety krishnamoorthy (view profile)

setcells error occurs

Joan

Joan (view profile)

 9 Dec 2010 1.1 * Output has the same class of input; input can be an array or a cell-array; * Array and cell are processed with target implementations of the same algorithm
MATLAB Release
MATLAB 7.10 (R2010a)