k-NN search. What is the difference between these 2-codes ?

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The program for k-NN search in MATLAB. 
load fisheriris %inbuilt data set provided in MATLAB. 
x = meas(:,3:4);
gscatter(x(:,1),x(:,2),species)
set(legend,'location','best')
newpoint = [5 1.45];
line(newpoint(1),newpoint(2),'marker','x','color','k',...
   'markersize',10,'linewidth',2)
[n,d] = knnsearch(x,newpoint,'k',10)  %my doubt is here. 
line(x(n,1),x(n,2),'color',[.5 .5 .5],'marker','o',...
    'linestyle','none','markersize',10)
%modified program for my requirement with different data set. x and z are the two variables with 24 elements in each. 
load stroke
gscatter(x,z,species);
set(legend,'location','best')
 newpoint=[115,150];
line(newpoint(1),newpoint(2),'marker','x','co  lor','k',...
   'markersize',10,'linewidth',2);
 [n,d] = knnsearch(x,newpoint,'k',10) % when i run , it gives error here. what is the difference between the original code and modified code ? infact 'newpoint' in the original program is a vector.  
line(x(n,1),x(n,2),'color',[.5 .5 .5],'marker','o',...
    'linestyle','none','markersize',10)

Answer 1

[Tom Lane]

You have supplied only x, not [x z], as the first argument to knnsearch. Your newpoint vector, on the other hand, has two columns.

[Pramod Bhat]

Hai. I have sent you an email. Please help me out in this regard.

[Shaik Ghouse Basha]

How to predict data using KNN ?

I have a vector of 80 years of data. I want to predict for 30 years. Please let me know how it is possible to using KNN?