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ADBIS
2007
Springer
145views Database» more  ADBIS 2007»
14 years 2 months ago
A Method for Comparing Self-organizing Maps: Case Studies of Banking and Linguistic Data
The method of self-organizing maps (SOM) is a method of exploratory data analysis used for clustering and projecting multi-dimensional data into a lower-dimensional space to reveal...
Toomas Kirt, Ene Vainik, Leo Vohandu
WSOM
2009
Springer
14 years 3 months ago
Analytic Comparison of Self-Organising Maps
Abstract. SOMs have proven to be a very powerful tool for data analysis. However, comparing multiple SOMs trained on the same data set using different parameters or initialisation...
Rudolf Mayer, Robert Neumayer, Doris Baum, Andreas...
SAC
2002
ACM
13 years 8 months ago
Benefits of document maps for text access in knowledge management: a comparative study
Analyzing, structuring and organizing documented knowledge is an important aspect of knowledge management. In order to ease the access to text collections, in literature so-called...
Andreas Becks, Christian Seeling, Ralf Minkenberg
TVCG
2012
185views Hardware» more  TVCG 2012»
11 years 11 months ago
Interest Driven Navigation in Visualization
—This paper describes a new method to explore and discover within a large data set. We apply techniques from preference elicitation to automatically identify data elements that a...
Christopher G. Healey, Brent M. Dennis
ICPR
2004
IEEE
14 years 9 months ago
Entropy-Based Measures for Clustering and SOM Topology Preservation Applied to Content-Based Image Indexing and Retrieval
Content-based image retrieval (CBIR) addresses the problem of finding images relevant to the users' information needs, based principally on low-level visual features for whic...
Markus Koskela, Jorma Laaksonen, Erkki Oja