Unleashing pearson correlation for faithful analysis of biomedical data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5400, Issue , 2009, Pages 70-91

  Strickert, Marc ^a   Schleif, Frank Michael ^b   Villmann, Thomas ^b   Seiffert, Udo ^c  

^a Crop Plant Research (IPK) Gatersleben   (Germany)

^b UNIVERSITY OF LEIPZIG   (Germany)

^c FRAUNHOFER INSTITUTE FOR FACTORY OPERATION AND AUTOMATION IFF   (Germany)

Author keywords

Clustering; Data visualization; Feature rating; High dimensional data mining; Parametric correlation measure

Indexed keywords

BIOMEDICAL ANALYSIS; BIOMEDICAL DATA; CDNA ARRAYS; CLASSIFICATION ,; CLUSTERING; DATA MODELS; DATA SETS; DATA SOURCE; FEATURE RATING; HIGH DEMAND; HIGH RESOLUTION; HIGH-DIMENSIONAL DATA MINING; HIGH-THROUGHPUT; MATHEMATICAL DERIVATIVES; MEASURING EQUIPMENTS; PARAMETRIC CORRELATION MEASURE; PEARSON CORRELATION; SIMILARITY MEASURE;

CORRELATION METHODS; DATA VISUALIZATION; GELATION; MINING; VISUALIZATION;

CLUSTER ANALYSIS;

EID: 67650217945     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-01805-3_5     Document Type: Conference Paper

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