Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

8

ESANN
2008

favoriteEmaildiscussreport

124views Neural Networks» more ESANN 2008»

Explaining Ant-Based Clustering on the basis of Self-Organizing Maps

13 years 6 months ago

Explaining Ant-Based Clustering on the basis of Self-Organizing Maps

Download www.dice.ucl.ac.be

Ant-based clustering is a nature-inspired technique whereas stochastic agents perform the task of clustering high-dimensional data. This paper analyzes the popular technique of Lumer/Faieta. It is shown that the Lumer/Faieta approach is strongly related to Kohonen's SelfOrganizing Batch Map. A unifying basis is derived in order to assess strengths and weaknesses of both techniques. The behaviour of several popular ant-based clustering techniques is explained.

Lutz Herrmann, Alfred Ultsch

Real-time Traffic

Ant-based Clustering | ESANN 2008 | Kohonen's SelfOrganizing Batch | Neural Networks | Popular Ant-based Clustering |

claim paper

Related Content

» The Architecture of AntBased Clustering to Improve Topographic Mapping

» Use of Image Subset Features in Image Retrieval with SelfOrganizing Maps

» Tree clustering for layoutbased document image retrieval

» Clustering functional data with the SOM algorithm

» Learning taxonomic relations from a set of text documents

» Topological characterization of mobile robot behavior

Post Info
More Details (n/a)

Added	29 Oct 2010
Updated	29 Oct 2010
Type	Conference
Year	2008
Where	ESANN
Authors	Lutz Herrmann, Alfred Ultsch

Comments (0)