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BIBE
2001
IEEE
188views Bioinformatics» more  BIBE 2001»
15 years 8 months ago
Interrelated Two-way Clustering: An Unsupervised Approach for Gene Expression Data Analysis
DNA arrays can be used to measure the expression levels of thousands of genes simultaneously. Currently most research focuses on the interpretation of the meaning of the data. How...
Chun Tang, Li Zhang, Aidong Zhang, Murali Ramanath...
CORR
2011
Springer
197views Education» more  CORR 2011»
14 years 11 months ago
Query Expansion Based on Clustered Results
Query expansion is a functionality of search engines that suggests a set of related queries for a user-issued keyword query. Typical corpus-driven keyword query expansion approach...
Ziyang Liu, Sivaramakrishnan Natarajan, Yi Chen
KDD
2009
ACM
206views Data Mining» more  KDD 2009»
16 years 5 months ago
Ranking-based clustering of heterogeneous information networks with star network schema
A heterogeneous information network is an information network composed of multiple types of objects. Clustering on such a network may lead to better understanding of both hidden s...
Yizhou Sun, Yintao Yu, Jiawei Han
CVPR
2007
IEEE
16 years 6 months ago
Adaptive Distance Metric Learning for Clustering
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...
Jieping Ye, Zheng Zhao, Huan Liu
PAKDD
2007
ACM
152views Data Mining» more  PAKDD 2007»
15 years 10 months ago
Spectral Clustering Based Null Space Linear Discriminant Analysis (SNLDA)
While null space based linear discriminant analysis (NLDA) obtains a good discriminant performance, the ability easily suffers from an implicit assumption of Gaussian model with sa...
Wenxin Yang, Junping Zhang