|
| | | | |
| | | |
| Stat |
Members: 3645
Articles: 2'504'928
Articles rated: 2609
25 April 2024 |
|
| | | | |
|
Article overview
| |
|
|
Clustering data by inhomogeneous chaotic map lattices | | L. Angelini
; F. De Carlo
; C. Marangi
; M. Pellicoro
; S. Stramaglia
; | | Date: |
31 Dec 1999 | | Journal: | Physical Review Letters 85 (2000) 554 | | Subject: | Statistical Mechanics; Data Analysis, Statistics and Probability; Chaotic Dynamics | cond-mat.stat-mech astro-ph nlin.CD physics.data-an | | Abstract: | A new approach to clustering, based on the physical properties of inhomogeneous coupled chaotic maps, is presented. A chaotic map is assigned to each data-point and short range couplings are introduced. The stationary regime of the system corresponds to a macroscopic attractor independent of the initial conditions. The mutual information between couples of maps serves to partition the data set in clusters, without prior assumptions about the structure of the underlying distribution of the data. Experiments on simulated and real data sets show the effectiveness of the proposed algorithm. | | Source: | arXiv, cond-mat/0001445 | | Other source: | [GID 241436] pmid10991338 | | Services: | Forum | Review | PDF | Favorites | |
|
|
No review found.
Did you like this article?
Note: answers to reviews or questions about the article must be posted in the forum section.
Authors are not allowed to review their own article. They can use the forum section.
browser Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)
|
| |
|
|
|
|
News, job offers and information for researchers and scientists:
| |
REGISTER