关键词: 特征选择, 特征加权, 分离度, 间距最大化原则, 适应性

Abstract: Margin maximization feature weighting is an effective dimension reduction technique, and it is generally based on weighting techniques and similarity measure to construct their objective functions. One of the weaknesses is that the adaptability is not enough due to the complexity of different datasets. Therefore, the better adaptive margin metric (named separation) and the fuzzy weighting technique were introduced for developing the new optimal objective function. As demonstrated by the authors' experimental studies in synthetic datasets and benchmark datasets, the proposed algorithm is more adaptive.

Key words: feature selection, feature weighting, separation, margin maximization principle, adaptability