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SDM
2009
SIAM
152views Data Mining» more  SDM 2009»
16 years 3 months ago
Multiple Kernel Clustering.
Maximum margin clustering (MMC) has recently attracted considerable interests in both the data mining and machine learning communities. It first projects data samples to a kernel...
Bin Zhao, James T. Kwok, Changshui Zhang
ADBIS
2007
Springer
132views Database» more  ADBIS 2007»
16 years 25 days 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
WEBI
2007
Springer
16 years 23 days ago
K-SVMeans: A Hybrid Clustering Algorithm for Multi-Type Interrelated Datasets
Identification of distinct clusters of documents in text collections has traditionally been addressed by making the assumption that the data instances can only be represented by ...
Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee G...
APPROX
2008
Springer
101views Algorithms» more  APPROX 2008»
15 years 8 months ago
Streaming Algorithms for k-Center Clustering with Outliers and with Anonymity
Clustering is a common problem in the analysis of large data sets. Streaming algorithms, which make a single pass over the data set using small working memory and produce a cluster...
Richard Matthew McCutchen, Samir Khuller
CF
2005
ACM
15 years 8 months ago
Balancing clustering-induced stalls to improve performance in clustered processors
Clustered processors lose performance as a result of clusteringinduced stalls. Such stalls are the result of distributed resources and cluster communication delays. Our performanc...
Amirali Baniasadi