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Clustering the Preprocessed Automated Blood Cell Counter Data using Modified K-means Algorithms and Generation of Association Rules
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 52 - Number 17 |
| Year of Publication: 2012 |
| Authors: D. Minnie, S. Srinivasan |
10.5120/8298-1917
|
D. Minnie, S. Srinivasan . Clustering the Preprocessed Automated Blood Cell Counter Data using Modified K-means Algorithms and Generation of Association Rules. International Journal of Computer Applications. 52, 17 ( August 2012), 38-42. DOI=10.5120/8298-1917
Abstract
The raw data from an Automated Blood Cell Counter is transformed in to a Preprocessed and Flattened data using the preprocessing phases of the Knowledge Discovery in Databases and the transformed data is used to create clusters of the database in this paper. The K-Means algorithm is applied on the database to form various clusters. Twelve thousand records are taken from a clinical laboratory for processing. Associations among the various attributes of the database are generated.
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