References

Bouguessa, M. and S. Wang, 2009. Mining projected clusters in high-dimensional spaces. IEEE Trans. Knowledge Data Eng., 21: 507-522.
CrossRef  |  Direct Link  |  

Cai, D., C. Zhang and X. He, 2010. Unsupervised feature selection for multi-cluster data. Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, July 25-28, 2010, ACM, New York, USA., pp: 333-342.

Gajawada, S. and D. Toshniwal, 2012. Vinayaka: A semi-supervised projected clustering method using differential evolution. Int. J. Software Eng. Applic., 3: 77-85.
CrossRef  |  Direct Link  |  

Hang, G.Y., D.M. Zhang, J.D. Ren and C.Z. Hu, 2009. A hierarchical clustering algorithm based on K-means with constraints. Proceedings of the 4th International Conference on Innovative Computing, Information and Control, December 7-9, 2009, Kaohsiung, pp: 1479-1482.

Jiang, J.Y., R.J. Liou and S.J. Lee, 2011. A fuzzy self-constructing feature clustering algorithm for text classification. IEEE Trans. Knowledge Data Eng., 23: 335-349.
CrossRef  |  Direct Link  |  

Kriegel, H.P., P. Kroger and A. Zimek, 2009. Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering and correlation clustering. ACM Trans. Knowledge Discovery Data, Vol. 3. 10.1145/1497577.1497578

Nie, Y., R. Cocci, Z. Cao, Y.L. Diao and P. Shenoy, 2012. SPIRE: Efficient data inference and compression over RFID streams. IEEE Trans. Knowledge Data Eng., 24: 141-155.
CrossRef  |  

Puri, C. and N. Kumar, 2011. Projected Gustafson-Kessel Clustering Algorithm and its Convergence. In: Transactions on Rough Sets XIV, Peters, J.F., A. Skowron, H. Sakai, M.K. Chakraborty, D. Slezak, A.E. Hassanien and W. Zhu (Eds.). Springer-Verlag, Berlin, Heidelberg, pp: 159-182.

Sembiring, R.W., J.M. Zain and A. Embong, 2010. Clustering high dimensional data using subspace and projected clustering algorithms. Int. J. Comput. Sci. Inform. Technol., 2: 162-170.
Direct Link  |  

Shanmugapriya, B. and M. Punithavalli, 2012. A modified projected K-means clustering algorithm with effective distance measure. Int. J. Comput. Applic., 44: 32-36.
CrossRef  |  Direct Link  |  

Yang, Y. and K. Chen, 2011. Temporal data clustering via weighted clustering ensemble with different representations. IEEE Trans. Knowledge Data Eng., 23: 307-320.
CrossRef  |  Direct Link  |