Literature DB >> 18244527

Fully automatic clustering system.

G Patane1, M Russo.   

Abstract

In this paper, the fully automatic clustering system (FACS) is presented. It is a technique for clustering and vector quantization whose objective is the automatic calculation of the codebook of the right dimension, the desired error (or target) being fixed. At each iteration, FACS tries to improve the setting of the existing codewords and, if necessary, some elements are removed from or added to the codebook. In order to save on the number of computations per iteration, greedy techniques are adopted. It has been demonstrated, from a heuristic point of view, that the number of the codewords determined by FACS is very low and that the algorithm quickly converges toward the final solution.

Entities:  

Year:  2002        PMID: 18244527     DOI: 10.1109/TNN.2002.804226

Source DB:  PubMed          Journal:  IEEE Trans Neural Netw        ISSN: 1045-9227


  2 in total

1.  GEO-CEOS stage 4 validation of the Satellite Image Automatic Mapper lightweight computer program for ESA Earth observation level 2 product generation - Part 1: Theory.

Authors:  Andrea Baraldi; Michael Laurence Humber; Dirk Tiede; Stefan Lang
Journal:  Cogent Geosci       Date:  2018-06-10

2.  Convalescing Cluster Configuration Using a Superlative Framework.

Authors:  R Sabitha; S Karthik
Journal:  ScientificWorldJournal       Date:  2015-10-12
  2 in total

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