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CSB
2002
IEEE
109views Bioinformatics» more  CSB 2002»
14 years 11 days ago
Towards Automatic Clustering of Protein Sequences
Analyzing protein sequence data becomes increasingly important recently. Most previous work on this area has mainly focused on building classification models. In this paper, we i...
Jiong Yang, Wei Wang 0010
COLT
2008
Springer
13 years 9 months ago
Model Selection and Stability in k-means Clustering
Clustering Stability methods are a family of widely used model selection techniques applied in data clustering. Their unifying theme is that an appropriate model should result in ...
Ohad Shamir, Naftali Tishby
ICDM
2009
IEEE
97views Data Mining» more  ICDM 2009»
14 years 2 months ago
Hierarchical Probabilistic Segmentation of Discrete Events
—Segmentation, the task of splitting a long sequence of discrete symbols into chunks, can provide important information about the nature of the sequence that is understandable to...
Guy Shani, Christopher Meek, Asela Gunawardana
WWW
2007
ACM
14 years 8 months ago
Wherefore art thou r3579x?: anonymized social networks, hidden patterns, and structural steganography
In a social network, nodes correspond to people or other social entities, and edges correspond to social links between them. In an effort to preserve privacy, the practice of anon...
Lars Backstrom, Cynthia Dwork, Jon M. Kleinberg
BMCBI
2010
135views more  BMCBI 2010»
13 years 7 months ago
Quadratic variance models for adaptively preprocessing SELDI-TOF mass spectrometry data
Background: Surface enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI) is a proteomics tool for biomarker discovery and other high throughput applicatio...
Vincent A. Emanuele II, Brian M. Gurbaxani