A Comparative Study of Clustering Algorithm

Author:

Shrikant Khyaati,Gupta Vaishnavi,Khandare Anand,Furia Palak

Publisher

Springer Nature Singapore

Reference27 articles.

1. Khandare A, Alvi A (2016) Survey of improved k-means clustering algorithms: improvements, shortcomings and scope for further enhancement and scalability. In: Information systems design and intelligent applications, proceedings of third international conference, India, vol 2

2. Davidson I, Ravi SS (2009) Using instance-level constraints in agglomerative hierarchical clustering: theoretical and empirical results. Data Mining Knowl Discov 18(2):257–282, April 2009

3. Ester M, Kriegel H-P, Sander J, Xu X (1996) A density based algorithm for discovering clusters in large spatial databases with noise. The Association for the Advancement of Artificial Intelligence (AAAI)

4. Chitra K, Maheswari D (2017) A comparative study of various clustering algorithms in data mining. Int J Comput Sci Mob Comput 6(8):109–115

5. Ahmad PH, Dang S (2015) Performance evaluation of clustering algorithm using different datasets. J Inform Eng Appl 5(1). ISSN 2224-5782 (print) ISSN 2225-0506 (online)

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