1. K-Medoids Clustering Algorithm | K-Medoids Clustering Solved Example | K-Medoids by Mahesh Huddar
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- Опубліковано 4 лип 2024
- 1. K-Medoids Clustering Algorithm | K-Medoids Clustering Solved Example | K-Medoids Clustering by Mahesh Huddar
Kmedoids Clustering Algorithm: • K-Medoid Clustering Al...
K-Medods Clustering Solved Example 1: • 1. K-Medoids Clusterin...
The following concepts are discussed:
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this is the best machine learning chanel in the entire world
keep going !!
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Excellence Method of teaching
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thanks for ur video! why dont we choose a new medoid for cluster C1?
Thanks for the making easier machine learning ❤
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Excellent explanation ❤
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Thank you sir
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Thank you show much
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What is meant by cost? What are we calculating when we find total cost?
Sir , In Apriori algorithm
What If a transaction id contain more than one similar item should we consider that as one during frequency count
??
Consider two times
Sir, I have small doubt that we should consider only these specific numbers 13,24,8,19 or can we take any other random numbers as initial values in genetic algorithm
Sir please rply for this....
Any random numbers can be taken
@@MaheshHuddar thank you sir 😊
What if c1 and c2 are equal, which cluster do we consider?
You can choose it randomly
We can use Euclidean distance also right??
no
Sir how it would be if he asked algorithm to gorm 3 clusters
Select three centroids and calculate the distance to all three centroids
Based on the distance you can form the clusters
Sir in this problem why should we take c1 (3,4) and c2 value(7,4) why should we don't choose other nodes?
Yes you can
Choose medoid points randomly
Sometimes they will be given as a part of problem definition
@@MaheshHuddarsir how to choose mediod points
Randomly@@reshmikayenninti5667
Randomly we need to choose
1000 Mal deutlicher als mein Prof erklärt
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what if there are two other points which give even lower cost than these current 2??
You need to repeat untill you get the minimum cost