Subject Review: Text Clustering Algorithms

Review Article


  • Zuhair Hussein Ali Mustansiriyah University, Iraq
  • Amal Abbas Kadhim Mustansiriyah University. Iraq
  • Azal Minshed Abid Mustansiriyah University, Iraq



Clustering, Hierarchical, Density based, Partition based, Grid based


Clustering algorithms are taking attention  in recent times, according to a huge amount of datasets   and the growth of parallelized computing architectures. The goal of clustering algorithms is to divided the dataset into clusters, such that objects within the same cluster are similar to each other and differ from objects of other clusters. Clustering algorithms play an important role in information retrieval, indexing and text summarization. In this paper a brief overview of several clustering algorithms is discussed


Boris,L., AnaKosa,r., Bersant,D., Dženan,S., Peter,R. & Axel,K. (2018). Variations on the Clustering Algorithm BIRCH,vol 11 pp.44-53

Yadav , C., Wang , S. & Kumar, M20(13). Algorithms and approaches to handle large data sets - A survey. International Journal of Computer Science and Network. , vol 2,no.3,pp.1–5.

Aggarwal, C. & Zhai, C.(2012) A survey of text clustering algorithms Mining Text Data. New York, NY, USA. Springer-Verlag.p. 77–128.

Marjan,K.,uchaki, R., Zahra, A., Nasibeh, E, (2012), A survey of hierarchical clustering algorithms, The Journal of Mathematics and Computer Science, Vol. 5,No.3, pp.229- 240.

Chris, d.,& Xiaofeng. He. (2002), Cluster Merging, And Splitting In Hierarchical Clustering Algorithms.

Contreras, P., & Murtagh, F.(2010). Fast hierarchical clustering from the Baire distance. In Classification as a Tool for Research, eds. H. Hocarek-Junge and C. Weihs, Springer, Berlin, pp.235–243.

Park H, Park J & Kwon,Y.(2015). Topic clustering from selected area papers. Indian Journal of Science and Technology Oct; Vol. 8,No.26,PP:1–7.

Majumdar J., Udandakar S., Mamatha Bai B.G. (2019) Implementation of Cure Clustering Algorithm for Video Summarization and Healthcare Applications in Big Data. In: Shetty N., Patnaik L., Nagaraj H., Hamsavath P., Nalini N. (eds) Emerging Research in Computing, Information, Communication and Applications. Advances in Intelligent Systems and Computing, vol 906. Springer, Singapore.

Liuzzi, G., Lucidi, S. & Piccialli, V. (2010). A partition-based global optimization algorithm. J. Global Optimization. Vol.48. PP.113-128. 10.1007/s10898-009-9515-y.

BOTTOM, L. & BENGIO, Y. 1995. Convergence properties of the K- means algorithms.Advances in Neural Information Processing Systems Vol. 7, PP. 585-592.

Said, E., Rowayda,A., Mohamed,A. ( 2015). An efficient brain mass detection with adaptive clustered based fuzzy C-mean and thresholding. 2015 IEEE International Conference on Signal and Image Processing Applications (ICSIPA):PP. 429–433.

Fahad,A., Alshatri, N., Tari, Z., Alamri, A.(2014). A survey of clustering algorithms for Big Data: Taxonomy and empirical analysis. IEEE Transactions on Emerging Topics in Computing. Vol. 2,No. 3,PP.:267–79.

Campello, R., Moulavi, D.,Zimek, A.& Sander, J. (2013). A framework for semi-supervised and unsupervised optimal extraction of clusters from hierarchies. Data Mining and Knowledge Discovery.Vol. 27,No. 3,PP, 344. doi:10.1007/s10618-013-0311-4.

Achtert, E., Böhm, C.; Kriegel, H. P., Kröger, P. ,Müller-Gorman, I.& Zimek, A. (2006). Finding Hierarchies of Subspace Clusters. LNCS: Knowledge Discovery in Databases: PKDD 2006. Lecture Notes in Computer Science. pp. 446–453.

MR, ILANGO & MOHAN, Dr. (2010). A Survey of Grid-Based Clustering Algorithms. International Journal of Engineering Science and Technology.

Park,H., Park .J., Kwon YB.(2015). Topic clustering from selected area papers. Indian Journal of Science and Technology. Vol. 8, No.26, PP.1–7.

Hans,P., & Arthur Z.,(2010) , Subspace clustering, Ensemble clustering, Alternative clustering, Multiview clustering: What can we learn from each other, In Proc. 1st Int’l workshop on discovering, summarizing, and using multiple clusterings.


How to Cite

Zuhair Hussein Ali, Amal Abbas Kadhim, & Azal Minshed Abid. (2020). Subject Review: Text Clustering Algorithms: Review Article. International Journal of Engineering Research and Advanced Technology (ijerat) (E-ISSN 2454-6135) DOI: 10.31695/IJERAT, 6(9), 16–20.