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» Incremental Clustering of Mobile Objects
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W2GIS
2004
Springer
14 years 3 months ago
A Progressive Reprocessing Transaction Model for Updating Spatial Data in Mobile Computing Environments
Mobile transactions for updating spatial data are long-lived transactions that update local copies of the mobile platforms on disconnection. Since a mobile transaction is physicall...
Donghyun Kim, Bonghee Hong
ICDCS
2012
IEEE
12 years 6 days ago
NEAT: Road Network Aware Trajectory Clustering
—Mining trajectory data has been gaining significant interest in recent years. However, existing approaches to trajectory clustering are mainly based on density and Euclidean di...
Binh Han, Ling Liu, Edward Omiecinski
IROS
2006
IEEE
155views Robotics» more  IROS 2006»
14 years 3 months ago
Multiple Hypothesis Tracking of Clusters of People
— Mobile robots operating in populated environments typically can improve their service and navigation behavior when they know where people are in their vicinity and in which dir...
Manuel Mucientes, Wolfram Burgard
ICDM
2002
IEEE
191views Data Mining» more  ICDM 2002»
14 years 2 months ago
Iterative Clustering of High Dimensional Text Data Augmented by Local Search
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
Inderjit S. Dhillon, Yuqiang Guan, J. Kogan
GIS
2007
ACM
14 years 4 months ago
Predicting future locations using clusters' centroids
As technology advances we encounter more available data on moving objects, thus increasing our ability to mine spatiotemporal data. We can use this data for learning moving object...
Sigal Elnekave, Mark Last, Oded Maimon