...聚类;类间差异;加权距离 [gap=739]Keywords】: K-means algorithm; clustering; between-cluster variation; weighted distance ...
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weighted distance method 距离加权法
weighted distance coefficient 加权距离系数
Weighted Distance Matrix 加权距离矩阵
weighted distance metric 加权距离度量
weighted distance measure 加权失真测度
minimum weighted distance 最小加权距离
adaptive weighted distance 自适应加权距离
Firstly,on bisecting K-means is used to quantize image roughly and then we refine the image by improved spectral clustering based weighted distance. The stability and quickness of bisecting K-means and adjustable weight make our approach an attractive one.
首先利用高效的二分K均值聚类进行粗略量化,然后使用基于加权距离的谱聚类进行再次量化。
参考来源 - 基于谱聚类的两阶段颜色量化算法 in C·2,447,543篇论文数据，部分数据来源于NoteExpress
Then the adaptive weighted distance is used to measure the similarity.
然后采用自适应加权距离作为相似性准则。
Our main goal is to explore the application of neural networks to minimum weighted distance decoding.
本文旨在研究神经网络在最小加权距离译码中的应用。
A method is proposed for computing the balance parameter between entropy and the generalized weighted distance.
给出了联合熵和加权广义距离之间平衡参数的确定方法。
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