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» Experiments on Graph Clustering Algorithms
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BPM
2006
Springer
166views Business» more  BPM 2006»
15 years 1 months ago
Process Mining by Measuring Process Block Similarity
Mining, discovering, and integrating process-oriented services has attracted growing attention in the recent year. Workflow precedence graph and workflow block structures are two i...
Joonsoo Bae, James Caverlee, Ling Liu, Hua Yan
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 3 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
ADBIS
2007
Springer
132views Database» more  ADBIS 2007»
15 years 4 months ago
Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
Rayner Alfred, Dimitar Kazakov
91
Voted
ICDM
2003
IEEE
240views Data Mining» more  ICDM 2003»
15 years 3 months ago
Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research
Given the recent explosion of interest in streaming data and online algorithms, clustering of time series subsequences, extracted via a sliding window, has received much attention...
Eamonn J. Keogh, Jessica Lin, Wagner Truppel
66
Voted
JCP
2008
103views more  JCP 2008»
14 years 10 months ago
Weighted Clustering and Evolutionary Analysis of Hybrid Attributes Data Streams
It presents some definitions of projected cluster and projected cluster group on hybrid attributes after having given some definitions on ordered attributes and sorted attributes t...
Xinquan Chen