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PDCAT
2007
Springer
16 years 17 days ago
Exploratory Day-Scale Behavior Assumption-Based User Clustering with the Mobile Clickstream
The mobile Internet enables 24-hour always-on computing with increased demands on time-based analysis. From an assumption that the mobile users are split into three different clus...
Toshihiko Yamakami
ICCV
2007
IEEE
16 years 8 months ago
Mode-seeking by Medoidshifts
We present a nonparametric mode-seeking algorithm, called medoidshift, based on approximating the local gradient using a weighted estimate of medoids. Like meanshift, medoidshift ...
Yaser Sheikh, Erum A. Khan, Takeo Kanade
AVSS
2007
IEEE
16 years 24 days ago
Vehicular traffic density estimation via statistical methods with automated state learning
This paper proposes a novel approach of combining an unsupervised clustering scheme called AutoClass with Hidden Markov Models (HMMs) to determine the traffic density state in a R...
Evan Tan, Jing Chen
ISCAPDCS
2003
15 years 7 months ago
Efficient Data Allocation for a Cluster of Workstations
The development and use of cluster based computing is increasingly becoming an effective approach for solving high performance computing problems. The trend of moving away from sp...
Ahmed M. Mohamed, Reda A. Ammar, Lester Lipsky
NIPS
2007
15 years 7 months ago
Consistent Minimization of Clustering Objective Functions
Clustering is often formulated as a discrete optimization problem. The objective is to find, among all partitions of the data set, the best one according to some quality measure....
Ulrike von Luxburg, Sébastien Bubeck, Stefa...