My question related to find the nearest point to the centroid of the each cluster?

after reducing the pareto set, the centroid of the clusters can be found, after finding the centroid of cluster i need to find nearest point to the centroid in each cluster. how to find nearest point to the centroid of each cluster. please suggest me with any related coding as an example.

[Jan]

The question is too general to be answered. Please post some relevant input data and your code. Posting "any related coding" is not useful, because you will find tons of examples, which contain one of the mentioned buzzwords. Spend the time to ask more specifically to improve your chance to get an answer.

[rajesh kumar]

i don't want tons of examples i want one r two example, to go on my own path.

[Image Analyst]

What was wrong with the starter code I gave you below?

[rajesh kumar]

For each cluster, find the centroid and select the nearest individual to the centroid as a representative and remove all other individuals from the cluster, (this is the point i have seen in one of the ieee journal)

[rajesh kumar]

let i am having 150x2 data, i have find clusters of 10 using [a,c]=kmeans(data,10];i got 10 clusters, and centroids now as you send code, xcentroid,ycentroid not geeting idea.

[rajesh kumar]

sir please i want discussion please

[Image Analyst]

Again, I gave you code. Scroll down the page and look at it. Comment down there if you have questions on it.

[Jan]

@rajesh kumar: You do not provide details, which allow to help you specifically. Please try to be much more clearer.

Answer 1

[Image Analyst]

For a given centroid, try this:

distances = sqrt((x - xCentroid).^2 + (y - yCentroid).^2);
[minDistance, indexOfMin] = min(distances);
xOfClosest = x(indexOfMin);
yOfClosest = y(indexOfMin);