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  1. University of Computer Studies, Yangon
  2. Conferences

Iris Classification using Agglomerative Hierarchical Clustering Approach

http://hdl.handle.net/20.500.12678/0000003785
http://hdl.handle.net/20.500.12678/0000003785
7a122669-360b-4277-9043-a778b75e0aed
651d715b-d26c-416b-ac48-343bff2cc8f5
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Title
Title Iris Classification using Agglomerative Hierarchical Clustering Approach
Language en
Publication date 2009-12-30
Authors
Swe, Hnin Hnin
Description
One of the usages of cluster analysis is to understand unknown data, given the value of several selected features. There are a lot of methods have been proposed data understanding. This paper discusses one technique of data clustering which is called the agglomerative hierarchical clustering algorithm. More specifically, this paper applies that algorithm to understand Iris plant data given the size of the sepal and petal. The system results the Iris flowers groups according to the given threshold value. Moreover, the system produces the analysis of the clusters in order to identify the optimal clusters. The proposed system is implemented as the generalized version of the hierarchical agglomerative clustering algorithm, applied on the Iris data set. But this system can be executed on any data set which would like to cluster the objects by means of that algorithm.
Keywords
Data Mining, Clustering, Hierarchical Partitioning, Agglomerative Method, Iris Data Set
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/1516
Journal articles
Fourth Local Conference on Parallel and Soft Computing
Conference papers
Books/reports/chapters
Thesis/dissertations
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