K-Means Algorithm: An Unsupervised Clustering Approach Using Various Similarity/Dissimilarity Measures

[1]  López del Val Ja,et al.  Principal components analysis , 1993 .

[2]  K. Krishna,et al.  Genetic K-means algorithm. , 1999, IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society.

[3]  P. Panchariya,et al.  Clustering algorithm based on k-means and fuzzy entropy for e-nose applications , 2013, 2013 International Conference on Advanced Electronic Systems (ICAES).

[4]  Rishi Ranjan,et al.  Application of Various Pre-Processing Techniques on Infrared (IR) Spectroscopy Data for Classification of Different Ghee Samples , 2018, 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA).

[5]  Pedro Larrañaga,et al.  An empirical comparison of four initialization methods for the K-Means algorithm , 1999, Pattern Recognit. Lett..

[6]  David J. Bartholomew Principal Components Analysis , 2010 .

[7]  Shehroz S. Khan,et al.  Cluster center initialization algorithm for K-means clustering , 2004, Pattern Recognit. Lett..

[8]  Navjot Kumar,et al.  Rapid classification of different types of ghee using mid infrared spectroscopy , 2017, 2017 Trends in Industrial Measurement and Automation (TIMA).

[9]  M. Narasimha Murty,et al.  Genetic K-means algorithm , 1999, IEEE Trans. Syst. Man Cybern. Part B.

[10]  Cesar H. Comin,et al.  Principal Component Analysis , 2018, ACM Comput. Surv..

[11]  Anil K. Jain Data clustering: 50 years beyond K-means , 2010, Pattern Recognit. Lett..

[12]  Vipin Kumar,et al.  Similarity Measures for Categorical Data: A Comparative Evaluation , 2008, SDM.

[13]  M. Narasimha Murty,et al.  A near-optimal initial seed value selection in K-means means algorithm using a genetic algorithm , 1993, Pattern Recognit. Lett..

[14]  Shehroz S. Khan,et al.  Cluster center initialization algorithm for K-modes clustering , 2013, Expert Syst. Appl..

[15]  Gp Babu,et al.  Simulated annealing for selecting optimal initial seeds in the K-means algorithm , 1994 .

[16]  Pedro Larrañaga,et al.  Applying genetic algorithms to search for the best hierarchical clustering of a dataset , 1999, Pattern Recognit. Lett..

[17]  Samuel Manoharan,et al.  Performance Analysis of Clustering Based Image Segmentation Techniques , 2020, Journal of Innovative Image Processing.