非監督性模糊分類最佳類別數之研究

The Validity Measurement of Fuzzy C-means Classifier

陳繼藩(Chi-Farn Chen) ； 李志明(Jyh-Ming Lee)

《航測及遙測學刊》 7卷4期 (2002/12) Pp. 53-60

https://doi.org/10.6574/JPRS.2002.7(4).4

摘要

非監督性模糊分類（FCM: fuzzy c-means）是多光譜衛星影像分類近來經常使用的方法之一。但模糊程度指標（fuzziness index）及最佳類別數的決定，是FCM應用於衛星影像通常會碰到的問題。本研究主要是以分類指標（cluster validity index）為方法，透過一系列測試，提供使用FCM時，模糊程度指標值的應用範圍及最佳類別數的自動化判定。

關鍵字

非監督性分類 ； 模糊分類 ； 分類指標

並列摘要

A fundamental problem of the unsupervised classification is often the determination of the valid number of the clusters. This study presents a series of testing procedures to investigate the application of a clustering validity function to the fuzzy c-means (FCM) algorithm. The main objective of the investigation is designed to test the performance of the validity criteria for optimal partition. The testing results from a series of remote sensing images indicate that the validity function indeed can be used as the optimal index for the choice of the cluster numbers for the unsupervised fuzzy c-means classification. Moreover, the tests also provide the proper guide for the determination of the applicable range of the fuzziness index.

並列關鍵字

unsupervised classification ； fuzzy c-means ； cluster validity index