Because for values of K < Elbow point, for every increase in value K there will be a significant decrease in sum of squared error, but for values of K > Elbow point, for every increase in value K, sum of squared error will not significantly decrease. That's why Elbow point is the optimal point and you can reaffirm this by observing the nature of the graph...
@@RishabhSinghChauhan-vy8py okay but that's obvious right? so basically, we decide using SSE that yeah "this" is going to be the optimal point. So in a way the entire graph is the elbow method, right? the process of finding out the optimal point is the "elbow point"? is my train of thought correct?
Hello Sir. The machine learning series helped me in MS thesis and Subjects. Thank you. 😍
Bohut hi sahi explanation sirji, rk bar me smjh aya
bht badhiya example,, sir koi book suggest kijiye numerical examples ke liye.,.
Great explanation! Very helpful to understand the Elbow method.
very nice explanation
Really needed this video
amazing video sir 🙌🏼🔥
thanks
why did we plot k = 1 ? it does not make sense to have 1 cluster right, so why plot it?
How do we infered that, this elbow point is important for deciding k?
How do we reach that statement ?
Why only that point is impportant?
Because for values of K < Elbow point, for every increase in value K there will be a significant decrease in sum of squared error, but for values of K > Elbow point, for every increase in value K, sum of squared error will not significantly decrease. That's why Elbow point is the optimal point and you can reaffirm this by observing the nature of the graph...
@@RishabhSinghChauhan-vy8py okay but that's obvious right? so basically, we decide using SSE that yeah "this" is going to be the optimal point. So in a way the entire graph is the elbow method, right? the process of finding out the optimal point is the "elbow point"? is my train of thought correct?
Data mining ka video kijiye please 😢😢
5:24 “SSE Mangta hai!”
Munna Bhai Data Engineer 🎉
sir is this course is completed
sir app toh bikul chnage dikh rahe ho...ekdum jawani wale narendra modi lag rahe....!!
😅😅😅
Where we can find X and C values
How they will provide?
watch k means clustering video first
Nhi aaya samajh bhaiya
itna easy tha bhai kya ni smaj aaya?
nhi aaya samajh bhaiya isiliye like nhi kiya