Unsupervised learning algorithm K-Means clustering Unlike supervised learning, there is no labelled data for this grouping. K-Means divides things into clusters based on their similarities and differences with objects in other groups.
They are frequently confused with one another. The 'K' in the K-Means Clustering algorithm is not the same as the 'K' in the KNN algorithm. KNN is a supervised learning method for classification, whereas k-Means Clustering is an unsupervised learning approach for clustering.
The number of clusters into which you want to divide your data points, i.e. the value of K, must be pre-determined in k-means clustering, whereas data is automatically organised into a tree shape form in hierarchical clustering (dendrogram).
Learner's Ratings
4.4
Overall Rating
69%
10%
13%
5%
3%
Reviews
M
Muhammad Qasim
5
Hi Kushal ! Your way of teaching is extremely helpful and you are one of the best teacher in the world.
Extremely helpful and I recommend to my peer as well for this course.
S
Shafi Akhtar
5
None
A
Aniket Kumar prasad
5
Very helpful and easy to understand all the concepts, best teacher for learning ML.
R
Rishu Shrivastav
5
explained everything in detail. I have a question learnvern provide dataset , and ppt ? or not?
V
VIKAS CHOUBEY
5
very nicely explained
V
Vrushali Kandesar
5
Awesome and very nicely explained!!!
One importing thing to notify to team is by mistakenly navie's practical has been added under svm lecture and vice versa (Learning Practical 1)
M
Mohd Mushraf
5
Amazing Teaching
J
Juboraj Juboraj
5
Easy to understand & explain details.
J
Joydeb
5
Awesome Course sir and your teaching style is very GOOD.
S
Shaga Chandrakanth Goud
5
Hi Kushal ji, Thanks a lot for a very good explanation. I have doubts about where we can get the dataset that you explained in the video. Can you make it available in resource ,so that we can downld
Share a personalized message with your friends.