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PR
2006
127views more  PR 2006»
15 years 7 months ago
Unsupervised possibilistic clustering
In fuzzy clustering, the fuzzy c-means (FCM) clustering algorithm is the best known and used method. Since the FCM memberships do not always explain the degrees of belonging for t...
Miin-Shen Yang, Kuo-Lung Wu
KDD
2010
ACM
304views Data Mining» more  KDD 2010»
15 years 5 months ago
Automatic malware categorization using cluster ensemble
Malware categorization is an important problem in malware analysis and has attracted a lot of attention of computer security researchers and anti-malware industry recently. Todayâ...
Yanfang Ye, Tao Li, Yong Chen, Qingshan Jiang
ICDM
2008
IEEE
146views Data Mining» more  ICDM 2008»
16 years 1 months ago
Hunting for Coherent Co-clusters in High Dimensional and Noisy Datasets
Clustering problems often involve datasets where only a part of the data is relevant to the problem, e.g., in microarray data analysis only a subset of the genes show cohesive exp...
Meghana Deodhar, Joydeep Ghosh, Gunjan Gupta, Hyuk...
EVOW
2007
Springer
16 years 1 months ago
Robust Peak Detection and Alignment of nanoLC-FT Mass Spectrometry Data
In liquid chromatography-mass spectrometry (LC-MS) based expression proteomics, samples from different groups are analyzed comparatively in order to detect differences that can p...
Marius C. Codrea, Connie R. Jimenez, Sander R. Pie...
ICDCS
2010
IEEE
15 years 11 months ago
Sifting through Network Data to Cull Activity Patterns with HEAPs
—Today’s large campus and enterprise networks are characterized by their complexity, i.e. containing thousands of hosts, and diversity, i.e. with various applications and usage...
Esam Sharafuddin, Yu Jin, Nan Jiang, Zhi-Li Zhang