Spatial clustering is an important topic in knowledge discovery research. However, most clustering methods do not consider semantic information during the clustering process. In this paper, we present ONTO_CLUST, a framework for ontology-based spatial clustering. Using the framework, spatial clustering can be conducted with the support of a spatial clustering ontology. As an illustration, the f...

Age differences in the strategies that individuals spontaneously use to learn new information have been shown to contribute to age differences in episodic memory. We investigated the role of prefrontal structure in observed age effects on self-initiated use of memory strategies. The relationships among age, prefrontal regional gray matter volumes, and semantic and serial clustering during free ...

Abstract Most semantic segmentation approaches of big data hyperspectral images use and require preprocessing steps in the form patching to accurately classify diversified land cover remotely sensed images. These incorporate rich spatial neighborhood information exploit simplicity segmentability most common datasets. In contrast, landmasses world consist overlapping diffused classes, making wea...

The paper proposes a semantic clustering based deduction learning by mimicking the and thinking process of human brains. Human beings can make judgments on experience cognition, as result, no one would recognize an unknown animal car. Inspired this observation, we propose to train deep models using prior that guide learn with ability deducing summarizing from classification attributes, such cat...