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ISBRA
2007
Springer
15 years 7 months ago
GFBA: A Biclustering Algorithm for Discovering Value-Coherent Biclusters
Clustering has been one of the most popular approaches used in gene expression data analysis. A clustering method is typically used to partition genes according to their similarity...
Xubo Fei, Shiyong Lu, Horia F. Pop, Lily R. Liang
CVPR
2008
IEEE
16 years 3 months ago
Correlational spectral clustering
We present a new method for spectral clustering with paired data based on kernel canonical correlation analysis, called correlational spectral clustering. Paired data are common i...
Matthew B. Blaschko, Christoph H. Lampert
127
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GRC
2008
IEEE
15 years 1 months ago
MovStream: An Efficient Algorithm for Monitoring Clusters Evolving in Data Streams
Monitoring cluster evolution in data streams is a major research topic in data streams mining. Previous clustering methods for evolving data streams focus on global clustering res...
Liang Tang, Chang-jie Tang, Lei Duan, Chuan Li, Ye...
DMKD
1997
ACM
308views Data Mining» more  DMKD 1997»
15 years 5 months ago
A Fast Clustering Algorithm to Cluster Very Large Categorical Data Sets in Data Mining
Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation becau...
Zhexue Huang
HPCC
2007
Springer
15 years 7 months ago
PARMI: A Publish/Subscribe Based Asynchronous RMI Framework for Cluster Computing
This paper presents a publish/subscribe based asynchronous remote method invocation framework (PARMI) aiming to improve performance and programming flexibility. PARMI enables high-...
Heejin Son, Xiaolin Li