Particiones óptimas: características y calidad de sus aproximaciones
保存先:
| 著者: | |
|---|---|
| フォーマット: | artículo original |
| 状態: | Versión publicada |
| 出版日付: | 1994 |
| その他の書誌記述: | In the part, we present a factorial approach for clustering following the least squares criterion, for every choice of the metrics in the individual space. We deduce that the between-clusters inertia has an upper bound that depends on the number of clusters and the results of a Principal Component Analysis; this enables us to generalize a coefficient that measures the quality of the approximation of an optimal partition.In the second part, we demonstrate that the inertia induces a strict ordering of the set of optimal partitions. Finally, we propose a heuristic for choosing the number of clusters. |
| 国: | Portal de Revistas UCR |
| 機関: | Universidad de Costa Rica |
| Repositorio: | Portal de Revistas UCR |
| 言語: | Español |
| OAI Identifier: | oai:portal.ucr.ac.cr:article/99 |
| オンライン･アクセス: | https://revistas.ucr.ac.cr/index.php/matematica/article/view/99 |
| キーワード: | análisis en componentes principales análisis factorial clasificación automática clasificación por particiones partición óptima número de clases |