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» The Practice of Cluster Analysis
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SDM
2009
SIAM
193views Data Mining» more  SDM 2009»
16 years 3 months ago
Agglomerative Mean-Shift Clustering via Query Set Compression.
Mean-Shift (MS) is a powerful non-parametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets...
Xiaotong Yuan, Bao-Gang Hu, Ran He
BPM
2009
Springer
161views Business» more  BPM 2009»
16 years 1 months ago
Trace Clustering Based on Conserved Patterns: Towards Achieving Better Process Models
Process mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms ...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
LCN
2008
IEEE
16 years 1 months ago
Optimal distance-based clustering for tag anti-collision in RFID systems
—Tag collisions can impose a major delay in Radio Frequency IDentification (RFID) systems. Such collisions are hard to overcome with passive tags due to their limited capabiliti...
Waleed Alsalih, Kashif Ali, Hossam S. Hassanein
ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
16 years 21 days ago
Efficient Clustering for Orders
Lists of ordered objects are widely used as representational forms. Such ordered objects include Web search results or best-seller lists. Clustering is a useful data analysis tech...
Toshihiro Kamishima, Shotaro Akaho
CIMCA
2005
IEEE
16 years 8 days ago
Modeling the Cross-Cultural Adaptation Process of Immigrants Using Categorical Data Clustering
— This paper introduces a quantitative method for social data analysis, which is based on the use of categorical data clustering. More specifically, we employ categorical data cl...
George E. Tsekouras