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Naeem, Arshia
- Development of an Efficient Hierarchical Clustering Analysis using an Agglomerative Clustering Algorithm
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Authors
Affiliations
1 Department of Computer Science, Lahore College for Women University, Lahore 54000, PK
2 Department of Information Technology, Government College University Faisalabad 38000, PK
3 Department of Computer Science, National Textile University, Faisalabad 37610, PK
1 Department of Computer Science, Lahore College for Women University, Lahore 54000, PK
2 Department of Information Technology, Government College University Faisalabad 38000, PK
3 Department of Computer Science, National Textile University, Faisalabad 37610, PK
Source
Current Science, Vol 117, No 6 (2019), Pagination: 1045-1053Abstract
Clustering algorithms are used to generate clusters of elements having similar characteristics. Among the different groups of clustering algorithms, agglomerative algorithm is widely used in the document clustering domain. This study aimed to examine the effectiveness of agglomerative clustering algorithm in document clustering by enhancing its efficiency and evaluating it through implementation. The resulting values, precision = 0.8571, recall = 0.8571 and F-measure = 0.857076 indicate the highest level of accuracy and efficiency compared to existing algorithm.Keywords
Cosine Similarity Measure, Document Clustering, F-Measure, Hierarchical Agglomerative Clustering, Preprocessing, TF-IDF.Full Text
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