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Clustering the Preprocessed Automated Blood Cell Counter Data using Modified K-means Algorithms and Generation of Association Rules

by D. Minnie, S. Srinivasan
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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

@article{ 10.5120/8298-1917,
author = { D. Minnie, S. Srinivasan },
title = { Clustering the Preprocessed Automated Blood Cell Counter Data using Modified K-means Algorithms and Generation of Association Rules },
journal = { International Journal of Computer Applications },
issue_date = { August 2012 },
volume = { 52 },
number = { 17 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = { 38-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume52/number17/8298-1917/ },
doi = { 10.5120/8298-1917 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:52:34.262425+05:30
%A D. Minnie
%A S. Srinivasan
%T Clustering the Preprocessed Automated Blood Cell Counter Data using Modified K-means Algorithms and Generation of Association Rules
%J International Journal of Computer Applications
%@ 0975-8887
%V 52
%N 17
%P 38-42
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
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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Index Terms

Computer Science
Information Sciences

Keywords

Hematology Blood Cell Counter Knowledge Discovery in Databases Data Mining Clustering K-Means Clustering Association Rule Mining

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