@inproceedings{fbd1aabe3125405799a1afb2459d2912,
title = "Fuzzy classification of incomplete data with adaptive volume",
abstract = "For solving the incomplete data problem of missing feature values in prototype data, various strategies were proposed. In this paper, two improved approaches are proposed to estimate the missing values of incomplete data. The two approaches are based on combining the adaptive volume Gustafson- Kessel algorithm (GKA) and the nearest vector features under the distance norm evaluated by complete data. The GKA with adaptive volume is applied for clustering and classifying the results. At last, compared the result with other strategies, and the computer simulations show that the improved strategies provide superior effects.",
author = "Leehter Yao and Weng, \{Kuei Sung\} and Chang, \{Ren Wei\}",
year = "2009",
doi = "10.1109/ACIIDS.2009.58",
language = "???core.languages.en\_GB???",
isbn = "9780769535807",
series = "Proceedings - 2009 1st Asian Conference on Intelligent Information and Database Systems, ACIIDS 2009",
pages = "232--237",
booktitle = "2009 1st Asian Conference on Intelligent Information and Database Systems, ACIIDS 2009",
note = "2009 1st Asian Conference on Intelligent Information and Database Systems, ACIIDS 2009 ; Conference date: 01-04-2009 Through 03-04-2009",
}