Paper Info
Title
SpaRClus: Spatial Relationship Pattern-Based Hierarchial Clustering
Abstract
For the past decade, the need of multimedia mining has in- creased tremendously, especially in image data due to inex- pensive digital technologies and fast mounting of image data. In this paper, we, flrst, show an algorithm, SpIBag (Spatial Item Bag Mining), which discovers frequent spatial patterns in images. Due to the properties of image data, SpIBag con- siders 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 ef- fective and e-cient.
Year
Venue
Keywords
2008
SDM
spatial pattern,spatial information,hierarchical clustering,spatial relationships
Field
DocType
Citations 
Hierarchical clustering,Spatial analysis,Multimedia mining,Pattern recognition,Computer science,Spatial relationship,Artificial intelligence,Cluster analysis,Scaling,Spatial ecology
Conference
7
PageRank 
References 
Authors
0.50
28
3
Name
Order
Citations
PageRank
Sangkyum Kim117810.54
Xin Jin27019.16
Jiawei Han3430853824.48