Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Automatic K-Finder #2

Open
Junhyuck-Woo opened this issue Jul 9, 2019 · 0 comments
Open

Automatic K-Finder #2

Junhyuck-Woo opened this issue Jul 9, 2019 · 0 comments

Comments

@Junhyuck-Woo
Copy link

Our assignment is to implement k-finder.
I thought that k-finder function gives us k value automatically.

Actually, I could find two methods, the first one is an elbow method and the other is a silhouette method. In the Labs, your description might mean an elbow method.
So, I tried to implement the elbow method.

I have two problems.

  1. If the k value is increased, the error rate is always reduced.
    So, I utilized a differentiation. However, sometimes differential also decreased gradually.
    It made me hard to get a collect one.
    Is there are any solutions?
  2. Based on my result, I hope to check my result.
    Is it correct?

PS.
In the noon, I asked a different one.
I found an error in my algorithms, so I changed it.
This issue is another problem I faced.

Here are images (https://imgur.com/a/caffR9g)
1, 2 show my problem.
3,4,5 for checking my algorithms ( Results)

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant