___

• Dattolo A, Eynard D, Mazzola L, “An Integrating Approach To Discover Tag Semantics”, In Proceedings of the 2011 ACM Symposium on Applied Computing, March 21-24, TaiChung, Taiwan (2011).
• Dhanalakshmi K, Inbarani HH , “Fuzzy Soft Rough K-Means Clustering Approach For Gene Expression Data”, Int. J. of Scientific Engineering and Research 3(10):1-7, (2012).
• Esmin A.A, Coelho R.A, Matwin S A, “review on particle swarm optimization algorithm and its variants to clustering high-dimensional data”, Artificial Intelligence Review, 1–23, (2013).
• Hammouda K A,” Comparative Study of Data Clustering Department of Systems Design Engineering, University of Waterloo, Waterloo, Ontario, Canada, (2006). Technical Report,
• Hassanzadeh, T., Meybodi, M. R. “A New Hybrid Approach for Data Clustering Using Firefly Algorithm International Symposium on Artificial Intelligence and Signal Processing (AISP), pp. 007 – 011, (2012). 16thIEEECSI
• Jain A.K, Murty M.N, and Flyn P.J., “Data Clustering: A Review”. ACM Computing Surveys 31(3):264-323, (1999).
• Kumar SS, Inbarani HH, “Web 2.0 social bookmark selection for tag clustering”, In: Periyar University, (PRIME) Pattern Recognition, Informatics and Medical Engineering (PRIME), Salem, 22-23 Feb 2013, 510- 516, IEEE, (2013a).
• Kumar SS, Inbarani HH, “Analysis of mixed C- means clustering approach for brain tumour gene expression data”. Int. J. of Data Analysis Techniques and Strategies, 5(2): 214 – 228, (2013b).
• Kuo R.J, Wang M.J, Huang T.W, “An application of particle swarm optimization algorithm to clustering analysis”. Soft Computing 15(3):533–542, (2011).
• Martens D, Baesens B, Fawcett T.. “Editorial survey: swarm intelligence for data mining”. Machine Learning 82(1):1–42,(2011).
• Monica Sood and Shilpi Bansal, “K-Medoids Clustering Technique using Bat Algorithm”, International Journal of Applied Information Systems (IJAIS), 5(8):20-22, (2013).
• Neshat M, Yazdi SF, Yazdani D and Sargolzaei M, “A New Cooperative Algorithm Based on PSO and K-Means for Data Clustering”. J. of Computer Science 8(2):188-194, (2012).
• Taher N, Babak A, “An efficient hybrid approach based on PSO, ACO and k-means for cluster analysis”, Appl Soft Comput 10(1):183–197, (2010).
• Xin-She Yang, “A new metaheuristic Bat inspired Algorithm”. Studies in Computational Intelligence, Springer, (2010) .
• Yau K.L, Tsang P.W.M, Leung C.S “PSO-based K- means clustering with enhanced cluster matching for gene expression data”, Neural Computing and Application 22(7-8): 1349–1355, (2013).
• Lei, Y., He, Z., Zi, Y., “Application of an intelligent classification method to mechanical fault diagnosis”, Expert Systems with Applications 36: 9941–9948 (2009).
• Toutountzakis, T., Tan, C. K., Mba, D., “Application of acoustic emission to seeded gear fault detection” NDT & E International, 38(1): 27– 36 (2005).
• Liu, B., Ling, S. F., Gribonval, R., “Bearing failure detection using matching pursuit”. NDT&E International, 35: 255–262 (2002).
• Yang B. S., Lim D. S., Tan, A. C. C., “VIBEX: an expert system for vibration fault diagnosis of rotating machinery using decision tree and decision table” Expert Systems with Application, 28(4): 735– 742 (2005).
• Peng, Z. K., Chu, F. L., “Application of wavelet transform in machine condition monitoring and fault diagnostics: Mechanical Systems and Signal Processing, 17: 199–221, 2003. with bibliography”.
• Huang, N. E., Shen, Z., Long, S. R., “The Empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis”. Proceedings of the Royal Society of London, 454: 903–995. (1998).
• Lee, S. K., White, P. R., “Higher-order time- frequency analysis and its application to fault detection in rotating machinery”. Mechanical Systems and Signal Processing, 11(4): 637–650 (1997).
• Younus, A. MD., Yang, B., “Intelligent fault diagnosis of rotating machinery using infrared thermal image”, Expert Systems with Applications 39: 2082–2091 (2012).
• Kad, R. S., “IR thermography is a Condition Monitor Technique in industry”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 2(3): 988-993 (2013).
• Zhang P., Lu B., Habetler T.G., “Active Stator Winding Thermal Protection for Ac Motors”, Proceedings of IEEE IAS Pulp and Paper Industry Conference, Alabama, USA, (2009)
• Nandi, S., Toliyat, H. A. and Li, X., “Condition monitoring and fault diagnosis of electric motors—a review”, IEEE Trans. on energy conversion, 20(4): 719-129, (2005).
• Carderock Division Naval Surface Warfare Center, “Handbook of Reliability Prediction Procedures for Mechanical Equipment” (2010).
• Barreira, E., de Freitas, V.P., Delgado, J.M.P.Q. and Ramos, N.M.M., “Thermography Applications in the Study of Buildings Hygrothermal Behaviour, Infrared Thermography”, Dr. Raghu V Prakash (Ed.), ISBN: 978-953-51-0242-7 (2012).
• Stipetic, S., Kovacic, M., Hanic, Z., Vrazic, M., “Measurement of Excitation Winding Temperature on Synchronous Generator in Rotation Using Infrared Thermography”, IEEE Transactions on Industrial Electronics, 59 (5): 2288-2298 (2012).
• Fantidis J. G., Karakoulidis K., Lazidis G., Potolias C., Bandekas D. V., “The study of the thermal profile of a three-phase motor under different conditions”, ARPN Journal of Engineering and Applied Sciences, 8 (11): 892 – 899 (2013).