...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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人脸相似度加权距离 Person-similarity weighed distance
加权距离系数 weighted distance coefficient
反距离加权插值法 Inverse Distance to a Power ; Inverse Distance Weighted
反距离加权法 IDW ; Inverse Distance Weighted
反距离加权 IDW ; Inverse distance weighring ; Inverse Distance Weighted
加权欧氏距离 Euclid distance with weights
距离加权法 weighted distance method
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
本文旨在研究神经网络在最小加权距离译码中的应用。
Our main goal is to explore the application of neural networks to minimum weighted distance decoding.
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.
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。
Firstly, on bisecting K-means is used to quantize image roughly and then we refine the image by improved spectral clustering based weighted distance.
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