A New Locally Weighted K-Means for Cancer-Aided Microarray Data Analysis

Natthakan Iam-On*, Tossapon Boongoen

*Awdur cyfatebol y gwaith hwn

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

3 Dyfyniadau (Scopus)


Cancer has been identified as the leading cause of death. It is predicted that around 20-26 million people will be diagnosed with cancer by 2020. With this alarming rate, there is an urgent need for a more effective methodology to understand, prevent and cure cancer. Microarray technology provides a useful basis of achieving this goal, with cluster analysis of gene expression data leading to the discrimination of patients, identification of possible tumor subtypes and individualized treatment. Amongst clustering techniques, k-means is normally chosen for its simplicity and efficiency. However, it does not account for the different importance of data attributes. This paper presents a new locally weighted extension of k-means, which has proven more accurate across many published datasets than the original and other extensions found in the literature.

Iaith wreiddiolSaesneg
Tudalennau (o-i)S43-549
Nifer y tudalennau7
CyfnodolynJournal of Medical Systems
Cyfrol36 Suppl 1
Dyddiad ar-lein cynnar28 Hyd 2012
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 01 Tach 2012
Cyhoeddwyd yn allanolIe

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