Skip to content
This repository has been archived by the owner on Nov 19, 2020. It is now read-only.

K-medoids algorithm #53

Closed
cesarsouza opened this issue Dec 4, 2014 · 3 comments
Closed

K-medoids algorithm #53

cesarsouza opened this issue Dec 4, 2014 · 3 comments

Comments

@cesarsouza
Copy link
Member

cesarsouza commented Dec 4, 2014

Add the k-medoids algorithm in the clustering module.

A description of the k-medoids algorithm can be found in Wikipedia, alongside with worked examples that would help testing and verifying an actual implementation:

For practical pourposes, there is also a BSD licensed k-medoids implementation available on MATLAB Central. Since this implementation is available under the BSD license, anyone willing to work on this feature can leverage the source code on this page and include the original copyright text for the original author, Mo Chen.

In order to implement a new clustering algorithm, start by copying all the contents of the existent KMeans.cs file, and simply rename the class to KMedoids. Then, replace the core algorithm with the k-medoids one. This will simplify getting the IUnsupervisedLearning interface implementation straight.

@cesarsouza
Copy link
Member Author

Added in #743.

@cesarsouza
Copy link
Member Author

Added in v3.7.0.

@abduallahnoorsayket
Copy link

CAn you please provide any code of k medoids in Lua (torch) ??

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

No branches or pull requests

2 participants