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- W79784557 abstract "For the past decade, the need of multimedia mining has increased tremendously, especially in image data due to inexpensive digital technologies and fast mounting of image data. In this paper, we, first, show an algorithm, SpIBag (Spatial Item Bag Mining), which discovers frequent spatial patterns in images. Due to the properties of image data, SpIBag considers a bag of items together with a spatial information as a pattern which persists over geometrical transformations, such as scaling, translation, and rotation. Then, based on SpIBag, we propose SpaRClus (Spatial Relationship Pattern-Based Hierarchical Clustering) to cluster image data. Our performance study shows that the method is effective and efficient." @default.
- W79784557 created "2016-06-24" @default.
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- W79784557 date "2008-04-24" @default.
- W79784557 modified "2023-09-24" @default.
- W79784557 title "<i>SpaRClus</i>: Spatial Relationship Pattern-Based Hierarchical Clustering" @default.
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- W79784557 doi "https://doi.org/10.1137/1.9781611972788.5" @default.
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