KTHVALUE (v2.1, jun 2012)

select the k-th smallest element in a (randomized) list
2,1K download
Aggiornato 2 lug 2012

Visualizza la licenza

KTHVALUE - select the k-th smallest element in a (randomized) list

V = KTHVALUE(L,K) returns the K-th smallest number from a list. L is
(unordered) list of N values, and K is a scalar between 1 and N.

Example:
L = ceil(10*rand(1,6)), K = 3
V = kthvalue(L,K)

The result is equivalent to picking the K-th value in the sorted list
"sort(L)". However, KTHVALUE does not require the explicit creation of
a temporary array, and is often faster.

L = rand(10000,1000) ; K = ceil(numel(L)/2) ;
tic ; V1 = kthvalue(L,K) ; toc
% Elapsed time is 0.73 seconds. (on average)
tic ; B = sort(L(:)) ; V2 = B(K) ; toc ;
% Elapsed time is 1.79 seconds.
isequal(V1,V2) % of course ...

Notes:
- Despite its nice algorithm, I would recommend the approach using SORT
over KTHVALUE, primarily because with one call to SORT one can
extract multiple elements.
- To find the k-th largest element, use -KTHVALUE(-L,K)
- For lists L with (2*K-1) numbers, KTHVALUE(L,K) equals the median
value of L.
- KTHVALUE can be used as a (rather inefficient ;-) ) sorting algorithm:
A = rand(5,1) ;
sortedA = zeros(size(A)) ;
for i=1:numel(A),
sortedA(i) = kthvalue(A,i) ;
end
[sort(A) sortedA]

For some more ideas on element selection see
http://en.wikipedia.org/wiki/Selection_algorithm

See also sort, min, max, median

Cita come

Jos (10584) (2024). KTHVALUE (v2.1, jun 2012) (https://www.mathworks.com/matlabcentral/fileexchange/23195-kthvalue-v2-1-jun-2012), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R13
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS Linux
Categorie
Scopri di più su Shifting and Sorting Matrices in Help Center e MATLAB Answers

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Versione Pubblicato Note della release
1.1.0.0

fixed warning issue about for-loop that popped up in newer releases of matlab

1.0.0.0