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2002 | OriginalPaper | Buchkapitel

Cluster-Based Algorithms for Dealing with Missing Values

verfasst von : Yoshikazu Fujikawa, TuBao Ho

Erschienen in: Advances in Knowledge Discovery and Data Mining

Verlag: Springer Berlin Heidelberg

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We first survey existing methods to deal with missing values and report the results of an experimental comparative evaluation in terms of their processing cost and quality of imputing missing values. We then propose three cluster-based mean-and-mode algorithms to impute missing values. Experimental results show that these algorithms with linear complexity can achieve comparative quality as sophisticated algorithms and therefore are applicable to large datasets.

Metadaten
Titel
Cluster-Based Algorithms for Dealing with Missing Values
verfasst von
Yoshikazu Fujikawa
TuBao Ho
Copyright-Jahr
2002
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/3-540-47887-6_54

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