该方法对笔迹中局部细微结构的书写变化趋势进行描述，并采用加权距离度量方法进行笔迹相似性度量。
The proposed method depicts the writing trend of local fine structures in handwritings and USES weighted distance metrics to measure the similarity between handwritings.
提出以加权距离和系统相似度量方法为基础进行聚类分析，提高聚类结果的有效性。
Cluster Analysis is argued to process based on Weighted Distance Coefficient and System Similarity methods to enhance the validity of the clustering result.
实验结果表明：这种加权倒谱距离度量结果优于LPC倒谱距离及其它度量方法。
The experimental results show that the weighted cepstral distance measure works substantially better than LPC cepstral distance measure and other measures.
用加权欧氏距离进行相似性度量以提高检索性能。
Weighted Euclidean distance was used to improve retrieval efficiency.
用加权欧氏距离进行相似性度量以提高检索性能。
Weighted Euclidean distance was used to improve retrieval efficiency.
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