In this paper, a color clustering method is introduced to reduce colors and get effective color representation of image sequence.
本文介绍了一种颜色聚类的方法，在序列图象中进行颜色的量化，以获得有效的图象颜色的表征。
In this paper, with the aid of the two concepts of diversity between two samples and diversity sequence of ordered samples, diversity sequence method is presented for clustering ordered samples.
本文借助于两个样品之间的差异度和有序样品的差异序列两个概念，提出了有序样品聚类的差异序列法法。
A weighted method of customer's time series is proposed and statistical features of time series are adopted for customer clustering, which make each group of customers have similar sequence feature.
提出了客户时间序列的加权处理方法，并应用客户时间序列的统计特征作为聚类特征向量，采用混合式遗传算法对客户聚类，使每一类客户具有相似的时序特征。
Partitioning method is a clustering algorithm, which is sensible to initial partitions (values of k), initial values and input sequence.
划分方法的缺点是要求事先给定聚类结果数，对初始划分和输入顺序敏感等。
Partitioning method is a clustering algorithm, which is sensible to initial partitions (values of k), initial values and input sequence.
划分方法的缺点是要求事先给定聚类结果数，对初始划分和输入顺序敏感等。
应用推荐