Borrar filtros
Borrar filtros

what is happening actually in the following code?

1 visualización (últimos 30 días)
Touhidul islam
Touhidul islam el 29 de Dic. de 2017
Respondida: Star Strider el 29 de Dic. de 2017
K = 8; % Cluster Numbers
CENTS = F( ceil(rand(K,1)*size(F,1)) ,:); % Cluster Centers
DAL = zeros(size(F,1),K+2); % Distances and Labels
KMI = 10; % K-means Iteration
for n = 1:KMI
for i = 1:size(F,1)
for j = 1:K
DAL(i,j) = norm(F(i,:) - CENTS(j,:));
end
*** I can't understand the below portions::::
[Distance, CN] = min(DAL(i,1:K)); % 1:K are Distance from Cluster Centers 1:K
DAL(i,K+1) = CN; % K+1 is Cluster Label
DAL(i,K+2) = Distance; % K+2 is Minimum Distance
end
  1 comentario
Star Strider
Star Strider el 29 de Dic. de 2017
If my Answer to your previous Question:
solved your problem, please Accept it!

Iniciar sesión para comentar.

Respuesta aceptada

Star Strider
Star Strider el 29 de Dic. de 2017
‘why CN is assigned to k+1 and distances to k+2 ?’
Apparently, whoever wrote the code designed the ‘DAL’ matrix to have specific data in specific columns.
Note that before the loop, ‘K’ is fixed at 8 and does not change within the code you posted, so ‘CN’ will be written in column 9 and ‘Distance’ in column 10 throughout the code.
Also, the min function with two outputs will return the first occurrence of the minimum value in the first output, and the index of that value in the second output. So ‘CN’ is the index, and ‘Distance’ is the value.

Más respuestas (1)

Jan
Jan el 29 de Dic. de 2017
The documentation explains the used commands exhaustively. Did you read it?
[Distance, CN] = min(DAL(i,1:K)); % 1:K are Distance from Cluster
See doc min : Distance is the smallest element of the vector DAL(i,1:K), while CN is the index of this element.
DAL(i,K+1) = CN; % K+1 is Cluster Label
DAL(i,K+2) = Distance; % K+2 is Minimum Distance
Now these two values are stored in the Matrix "DAL".
  1 comentario
Touhidul islam
Touhidul islam el 29 de Dic. de 2017
DAL(i,K+1) = CN;
DAL(i,K+2) = Distance;
why CN is assigned to k+1 and distances to k+2 ?

Iniciar sesión para comentar.

Etiquetas

Community Treasure Hunt

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

Start Hunting!

Translated by