How kNN algorithm works

Thank you very much for your video.It is very help full to me.But i have a some confusion,that is when k is multiples of classes only the problem is finding the element belonging class.Is that right?

So what about when k=1 and we have 2 classes A and B. We want to to identify a new element x in one of this classes and the distances are equal. Then the algorithm in which class puts the element x?

can i use k=2?

Really good, Keep Doing....

thank you

Your videos were clear and understandable by everyone thanks for putting in your efforts on this :)

Thank you! Great video

Thanks, clear and perfect!.

clear and simple explanation Helped me a lot in supervised classification. thank you!

very good short explanations for beginners in field of machine learning.........good job

Clear and simple, thanks.

Thank you very much

what do you do if your KNN has K+ points of equal distances?

good explanation with short time...😃

explained very well

Thanks for the video

Which Algorithm should we prefer over K-NN ?

Great explanation - clear and simple - thanks much!

why k is < 6?

In your example, when you find out that 'C' element belongs to 'O' class, if you would like to clasify another element 'D' , is 'C' taken in account to predict the label for 'D' or just the original samples are used to clasify it?

Thanks.