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Folguera et al., 2015 - Google Patents

Self-organizing maps for imputation of missing data in incomplete data matrices

Folguera et al., 2015

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Document ID
37973349239052556
Author
Folguera L
Zupan J
Cicerone D
Magallanes J
Publication year
Publication venue
Chemometrics and Intelligent Laboratory Systems

External Links

Snippet

The problem of incomplete data matrices is repeatedly found in large databases, posing a significant obstacle for an effective treatment of data. This paper examines a self-organizing- map (SOM) based method of data imputation under the concept of distance object per one …
Continue reading at aargentinapciencias.org (PDF) (other versions)

Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6251—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on a criterion of topology preservation, e.g. multidimensional scaling, self-organising maps
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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    • G—PHYSICS
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    • G06Q10/00—Administration; Management

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