Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation becau...
It is important and challenging to make the growing image repositories easy to search and browse. Image clustering is a technique that helps in several ways, including image data ...
Xin Zheng, Deng Cai, Xiaofei He, Wei-Ying Ma, Xuey...
— Packet forwarding in Public Transport Networks is particularly challenging due to the high mobility, rapidly changing topology and intermittent connectivity observed in these n...
We propose a method of using clustering techniques to partition a set of orders. We define the term order as a sequence of objects that are sorted according to some property, such...
This paper presents a novel method aimed to free form deformation
function approximation for purpose of image registration. The
method is currently feature-based. The algorithm i...