1 / 8

Clustering based on principle curve

Speech and Image Processing Unit School of Computing University of Eastern Finland. Clustering based on principle curve. Clustering Methods: Part extra. Pasi Fränti. Partition based on 1-d projection. Clustering example. Example with image data. Pseudo code of PAC-based K-means.

thane-robbins
Download Presentation

Clustering based on principle curve

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Speech and Image Processing UnitSchool of Computing University of Eastern Finland Clustering based on principle curve Clustering Methods: Part extra Pasi Fränti

  2. Partition based on 1-d projection

  3. Clustering example

  4. Example with image data

  5. Pseudo code of PAC-based K-means

  6. Example with A1 data set

  7. Extending to tree structure via MST

  8. Literature • I. Cleju, P. Fränti and X. Wu, "Clustering based on principal curve", Scandinavian Conf. on Image Analysis (SCIA'05), Joensuu, Finland, LNCS vol. 3540, 872-881, June 2005. • I. Cleju, P. Fränti and X. Wu, "Clustering by principal curve with tree structure", Int. Symposium on Signals, Circuits & Systems (ISSCS'05), vol. 2, 617-620, Iasi, Romania, July 2005.

More Related