Enviar artigo por via de e-mail ALGORITHM FOR ADAPTIVE PLANNING OF AN ENSEMBLE OF TAXONOMIC DECISIONS TREES
- Autores: Berikov V.B.1, Berikov VB1
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Afiliações:
- Edição: Volume 11, Nº 5 (2010)
- Páginas: 91-94
- Seção: Articles
- ##submission.datePublished##: 15.05.2010
- URL: https://journals.eco-vector.com/2712-8970/article/view/504935
- ID: 504935
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Resumo
We suggest an approach to cluster analysis based on the ensemble of taxonomic decisions trees. The adaptive algorithm for the ensemble planning that uses distances between logic statements describing clusters is offered. The results of statistical modeling confirm the efficiency of the algorithm.
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Bibliografia
- Strehl A., Ghosh J. Clustering ensembles - a knowledge reuse framework for combining multiple parti- tions // J. of Machine Learning Research. 2002. Vol. 3. P. 583-617.
- Бериков В. Б. Кластерный анализ с использованием коллектива деревьев решений // Науч. вестн. Новосиб. гос. техн. ун-та. 2009. № 3 (36). С. 67-76.
- Лбов Г. С., Бериков В. Б. Устойчивость решающих функций в задачах распознавания образов и анализа разнотипной информации. Новосибирск : Изд-во Ин-та математики, 2005.
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