Paper Title : Implementation of Hierarchical Clusters Using the CURE Algorithm
ISSN : 2394-2231
Year of Publication : 2021
10.29126/23942231/IJCT-v8i5p3
MLA Style: Maghrib Abidalreda Maky Alrammahi, Kassem Al Attabi, Dhurgham Ali Mohammed " Implementation of Hierarchical Clusters Using the CURE Algorithm " Volume 8 - Issue 5 September-October , 2021 International Journal of Computer Techniques (IJCT) ,ISSN:2394-2231 , www.ijctjournal.org
APA Style: Maghrib Abidalreda Maky Alrammahi, Kassem Al Attabi, Dhurgham Ali Mohammed " Implementation of Hierarchical Clusters Using the CURE Algorithm " Volume 8 - Issue 5 September-October , 2021 International Journal of Computer Techniques (IJCT) ,ISSN:2394-2231 , www.ijctjournal.org
Abstract
Data mining is one of the important concepts in the discovery of knowledge, as it works to explore a huge set of information and data that is structured or unstructured and begins with several operations, the first of which is analysis and through which it extracts meaning for the data and finally, depending on the meaning, it is possible to predict future behaviours and take the right decision for any system. Where the work begins on the databases and discovers the invisible or incomprehensible patterns and discovers the most important information that is capable of making correct predictions. Data mining consists of four important techniques and is classified into regression and depends on prediction, descriptive (Association rules), classification, and finally clustering, and each of these techniques contains a set of algorithms. In this research paper, we will focus on the last type, which is the clustering and in particular the CURE algorithm, where this algorithm works to collect the data section by adopting a hierarchical approach, which helps to obtain the best balance and high quality in the assembly.
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Keywords
—Hierarchical Clustering: CURE Algorithm; Clusters ;Data Mining.