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Which of the following does k represent in the k-means model?
Suggested Answer: C
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In k-means clustering, the parameter k directly defines how many clusters the algorithm will partition the data into.
21 comments · newest first
LI
Lizette
2 days ago
Yeah, I agree with Alaine. It makes sense.
AL
Alaine
7 days ago
I think k is the number of clusters.
AN
Annmarie
12 days ago
Same here, it’s crucial for understanding.
BE
Beatriz
18 days ago
I hope I get this one right!
DY
Dyan
23 days ago
Right, clusters are key in k-means.
WI
Willetta
28 days ago
It’s not about distance or splits.
AL
Aliza
1 month ago
I remember learning that in class.
LU
Luisa
1 month ago
Option C makes the most sense to me.
CA
Carry
1 month ago
K means how many clusters we want.
CA
Cathern
2 months ago
I feel confused about this question.
EF
Effie
2 months ago
Yeah, definitely. It’s about grouping data.
KA
Kayleigh
2 months ago
I think k is the number of clusters.
BR
Brock
2 months ago
Yeah, it's C for sure! I've used it in projects.
DA
Dahlia
2 months ago
Wait, is it really just about clusters? That seems too simple.
LI
Lili
2 months ago
I thought it was about distance, but I guess not?
PE
Peggie
3 months ago
Totally agree, it's definitely C!
AL
Alisha
3 months ago
k represents the number of clusters.
JO
Jody
3 months ago
I’m pretty confident that k is the number of clusters. We did a lot of exercises on k-means in our study group.
DO
Donte
3 months ago
I’m a bit confused; could k also refer to the number of model tests? I feel like I saw that somewhere.
LA
Lavonna
3 months ago
I remember practicing a question similar to this, and I think k is definitely about clusters.
JU
Juliana
4 months ago
I think k represents the number of clusters, but I’m not entirely sure. It feels like something we covered in class.