K- means clustering example

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Dr RAJESHWARI J

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CAUTION : she used Manhattan distance formula (| x 1 − x 2 | + | y 1 − y 2 |) insetead of Euclidean distance formula.

BansalHirdyansh

Good explanation..a better method than what was explained in class

swethamariajohn

Mam there is a calculation mistake here when you do the third time recalculation then distance mean 1 will come 3, 9.5

belalkhan

There is mistake in mathematical calculation while using the distance formula there should be 3.61 not 5

pradippoudel

If initial given centroids are not from given data points, then after one iteration, at the time of updating centroid, will we add values of given initial centroid also???

misbahsultana

Good explanation..Thankyou ma'am you cleared my doubts :)
🙏🙏🙏🙏🙏🙏🙏🙏

___Karan___Kanojia___

if two dist mean have exact same values then it will go in which cluster or both cluster please confirm ma'am

aishwaryalokhande

Does anyone know how k-means maths works when there are 4 features?
Also if you know of any resource available on the internet then please comment it down.

bhushandhuri

it helped me a lot to clear my concept❤ really helpful

SpaceVentures

Mam why don't you taking the sqare values.so that as per the eucledian distance formula this calculation is totally wrong.please check it once and correct video upload please.

abhuaashunatkhat

distance equation= ? why squre root is not use here...

amadalicscience

Mam I think u used distance formula instead of Euclidian bec ur ans different if we use Euclidian distance

Shivkanya

mam all values are wrong when you use E distance formula

allinonecontentishere

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