Kernel-based Distance-weighted KNN Algorithm 基于核的距离加权KNN算法
A simple and quick algorithm, integrated with weighted distribution and Hamming distance, is derived from the principle of fuzzy similarity-ratio.
从模糊相似比原理出发，推证出一种简捷的快速算法，并综合了权重和海明距离两方面因素，从而使模糊相似比方法得到改进。
In order to improve the performance of chemistry-focused search engines, an automatic text categorization algorithm is proposed based on the distance-weighted k-nearest neighbor algorithm.
为了提高化学主题搜索引擎的查询效果，采用距离加权七一近邻分类算法来进行自动分类。
Introduces color feature extraction and matching algorithms in content-based image retrieval, such as weighted Euclidean-distance, weighted centre distance, histogram intersection algorithm, etc.
介绍了基于内容图像检索中多种颜色的特征提取和匹配算法，以及加权欧几里得距离、中心距的加权距离、直方图交集算法等。
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