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ICML
2001
IEEE
16 years 7 months ago
Constrained K-means Clustering with Background Knowledge
Clustering is traditionally viewed as an unsupervised method for data analysis. However, in some cases information about the problem domain is available in addition to the data in...
Kiri Wagstaff, Claire Cardie, Seth Rogers, Stefan ...
CLUSTER
2007
IEEE
16 years 1 months ago
Network performance model for TCP/IP based cluster computing
— A new communication model, called the PlogPT model, is proposed to predict communication performance in a commodity cluster where computing nodes communicate using TCP/IP. This...
Akihiro Nomura, Hiroya Matsuba, Yutaka Ishikawa
WEBDB
2007
Springer
162views Database» more  WEBDB 2007»
16 years 23 days ago
Term Ranking for Clustering Web Search Results
Clustering web search engine results for ambiguous keyword searches poses unique challenges. First, we show that one cannot readily import the frequency based feature ranking to c...
Fatih Gelgi, Hasan Davulcu, Srinivas Vadrevu
HICSS
2006
IEEE
118views Biometrics» more  HICSS 2006»
16 years 21 days ago
Quantitative Measures for Evaluating Knowledge Network Node Clusters: Preliminary Results
One viewpoint of a knowledge network is a knowledge map that clusters similar knowledge sources into knowledge domains. What is needed is an automatic mapping tool that 1) takes t...
Mark Pendergast, Richard Orwig
ICDM
2005
IEEE
189views Data Mining» more  ICDM 2005»
16 years 8 days ago
Integrating Hidden Markov Models and Spectral Analysis for Sensory Time Series Clustering
We present a novel approach for clustering sequences of multi-dimensional trajectory data obtained from a sensor network. The sensory time-series data present new challenges to da...
Jie Yin, Qiang Yang