A vertical-energy-thresholding procedure for data reduction with multiple complex curves

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 36, Issue 5, 2006, Pages 1128-1138

  Jung, U ^a   Jeong, Myong K ^b   Lu, Jye Chyi ^c  

^a Dongguk University   (South Korea)

^b University of Tennessee Knoxville   (United States)

^c Georgia Institute of Technology   (United States)

Author keywords

Cluster analysis; Data mining; Data reduction; Denoising; Wavelet thresholding

Indexed keywords

DATA MINING; DECISION THEORY; FAULT TREE ANALYSIS; LEARNING SYSTEMS; STATISTICAL PROCESS CONTROL; WAVELET TRANSFORMS;

CLUSTER ANALYSIS; HIGH-DIMENSIONAL FUNCTIONAL DATA; TIMELY DECISION ANALYSIS; VERTICAL-ENERGY-THRESHOLDING PROCEDURE; WAVELET THRESHOLDING;

DATA REDUCTION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; DIFFERENTIAL THRESHOLD; ENERGY TRANSFER; EVALUATION; FACTUAL DATABASE; INFORMATION PROCESSING; INFORMATION RETRIEVAL; METHODOLOGY; SIGNAL PROCESSING; TRANSDUCER;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; DATA COMPRESSION; DATABASES, FACTUAL; DIFFERENTIAL THRESHOLD; ENERGY TRANSFER; INFORMATION STORAGE AND RETRIEVAL; PATTERN RECOGNITION, AUTOMATED; SIGNAL PROCESSING, COMPUTER-ASSISTED; TRANSDUCERS;

EID: 33749386445     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2006.874681     Document Type: Article

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