Clustering the Preprocessed Automated Blood Cell Counter Data using Modified K-means Algorithms and Generation of Association Rules
D. Minnie, S. Srinivasan · International Journal of Computer Applications · 2012
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.