1. Anastasiu, D.C., Tagarelli, A., Karypis, G.: Document clustering: the next frontier. In: Aggarwal, C.C., Reddy, C.K. (eds.) Data Clustering: Algorithms and Applications, pp. 305–328 (2013)
2. Zhao, W., He, Q., Ma, H., Shi, Z.: Effective semi-supervised document clustering via active learning with instance-level constraints. KAIS 30, 569–587 (2012)
3. Tomašev, N., Radovanović, M., Mladenić, D., Ivanović, M.: Hubness-based clustering of high-dimensional data. In: Celebi, M.Emre (ed.) Partitional Clustering Algorithms, pp. 353–386. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-09259-1_11
4. Ester, M., Kriegel, H.-P., Sander, J., Xu, X.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: KDD, pp. 226–231 (1996)
5. Network Theory and Applications;L Ertöz,2003