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Seeking common and corresponding anatomical/functional regions across individuals via cortical parcellation has been studied for decades. Essentially, many cortical parcellation approaches are hampered by unclear cortical boundaries, individual variability, and difficulties in establishing correspondences during parcellation of multiple brains. In this paper, based on DICCCOLs, which is a map of discrete...
In vivo parcellation of the cerebral cortex via non-invasive neuroimaging techniques has been in active research for over a decade. A variety of model-driven or data-driven computational approaches have been proposed to parcellate the cortex. A fundamental issue in these parcellation methodologies is the features or attributes used to define boundaries between cortical regions. This paper proposes...
This paper presents a cluster head selection algorithm in wireless network, which is based on an optimal algorithm to find a maximum weighted independent set (MWIS) in planar graph. It is analysed that the wireless AD hoc networks and the application of the maximum weighted independent set. To prove the validity and practicability of MWIS, we compare MWIS algorithm with minimum ID clustering algorithm...
Monitoring cluster evolution in data streams is a major research topic in data streams mining. Previous clustering methods for evolving data streams focus on global clustering result. It may lose critical information about individual cluster. This paper introduces some basic movements of evolution of an individual cluster. Based on the measurement of the movements, a novel algorithm called MovStream...
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