A Case of Study with the Clustering R Library to Measure the Quality of Cluster Algorithms

Author:

Martos Luis Alfonso PérezORCID,García-Vico Ángel MiguelORCID,González PedroORCID,Carmona Cristóbal JoséORCID

Publisher

Springer International Publishing

Reference20 articles.

1. Kaur, M., Garg, S.: Survey on clustering techniques in data mining for software engineering. Int. J. Adv. Innov. Res. 5(3), 238–243 (2014)

2. Steinbach, M., Karypis, G., Kumar, V.: A comparison of document clustering techniques. In: Proceedings of the International KDD Workshop On Text Mining, vol. 6 (2000)

3. Dolnicar, S.: A review of data-driven market segmentation in tourism. J. Travel Tour. Mark. 12, 1–22 (2002)

4. Garg, N., Rani, R.: Analysis and visualization of Twitter data using k-means clustering. In: 2017 International Conference on Intelligent Computing and Control Systems (ICICCS), pp. 670–675 (2017)

5. Pandeeswari, N., Kumar, G.: Anomaly detection system in cloud environment using fuzzy clustering based ANN. Mobile Netw. Appl. 21, 494–505 (2016)

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