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  • 标题:CLUSTERING THE PREPROCESSED BONE MARROW DATA USING MODIFIED K-MEANS ALGORITHM
  • 本地全文:下载
  • 作者:D.Minnie ; S.Srinivasan
  • 期刊名称:Indian Journal of Computer Science and Engineering
  • 印刷版ISSN:2231-3850
  • 电子版ISSN:0976-5166
  • 出版年度:2013
  • 卷号:4
  • 期号:2
  • 页码:196-203
  • 出版社:Engg Journals Publications
  • 摘要:In this paper we analyse the components of the bone marrow and the bone marrow analysis data. Eighteen thousand bone marrow records are collected from a reputed Clinical Pathological Laboratory and this raw data is transformed into a pre-processed and flattened data using the pre-processing phases of the Knowledge Discovery in Databases. The transformed bone marrow data is used to create clusters of the database using various fields of the bone marrow. The K-Means clustering algorithm is slightly modified and is applied on the Bone Marrow Database to form various clusters.
  • 关键词:Hematology; Bone Marrow; Knowledge Discovery in Databases; Data Mining; Clustering; K-Means Clustering.
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