Cluster Detection Analysis Using Fuzzy Relational Database
Keywords:
Cluster analysis, fuzzy set theory, data mining, fuzzy relational database, information retrieval.Abstract
In order to handle imprecise and ambiguous
information, the application of fuzzy set theory for the design of
database, information storage and retrieval systems has been
gaining popularity recently. This paper gives emphasis on the
basic characteristics of fuzzy relational databases, their
properties, along with the data clustering in database systems.
Indian premier league dataset has been considered for the
detection of clusters. Several clustering parameters like
centroid, radius and Manhattan distance measure have been
applied. The definition of clusters as well as the membership
function has been implemented using PL/SQL. The results
obtained from Indian premier league batting statistics dataset
detect two clusters, namely Cluster 1 and Cluster 2. Finally, this
article proposed a fuzzy database organization and clustering of
records which provides efficient and accurate fuzzy retrieval.
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