1. U. Gonzales-Barron and F. Butler. A comparison of seven thresholding techniques with the k-means clustering algorithm for measurement of bread-crumb features by digital image analysis. Journal of Food Engineering, 74(2):268-278, 2006. Keyword(s): image analysis, bread, thresholding, crumb features. [bibtex-entry]



2. Z. Knops, J. Maintz, M. Viergever, and J. Pluim. Normalized mutual information based registration using k-means clustering and shading correction. Medical Image Analysis, 10(3):432-439, 2006. Keyword(s): image registration, normalized mutual information, k-means clustering, shading correction, robustness. [bibtex-entry]



3. M. Otsubo, K. Sato, and A. Yamaji. Computerized identification of stress tensors determined from heterogeneous fault-slip data by combining the multiple inverse method and k-means clustering. Journal of Structural Geology, 28(6):991-997, 2006. Keyword(s): stress tensor, k-means, multiple inverse method, s-space, stress difference, meso-scale fault. [bibtex-entry]



4. G. Peters. Some refinements of rough k-means clustering. Pattern Recognition, 39(8):1481-1491, 2006. Keyword(s): cluster algorithms, rough k-means, soft computing, data analysis, forest data, bioinformatics data. [bibtex-entry]



5. Y. Marzouk and A. Ghoniem. K-means clustering for optimal partitioning and dynamic load balancing of parallel hierarchical N-body simulations. Journal of Computational Physics, 207(2):493-528, 2005. Keyword(s): k-means clustering, treecode, n-body problems, hierarchical methods, parallel processing, load balancing, particle methods, vortex methods, three-dimensional flow, transverse jet. [bibtex-entry]



6. J. Tian, L. Zhu, S. Zhang, and L. Liu. Improvement and parallelism of k-means clustering algorithm. Tsinghua Science & Technology, 10(3):277-281, 2005. Keyword(s): data mining, cluster analysis, k-means algorithm, parallelism. [bibtex-entry]



7. T. Kanungo, D. Mount, N. Netanyahu, C. Piatko, R. Silverman, and A. Wu. A local search approximation algorithm for k-means clustering. Computational Geometry, 28(2-3):89-112, 2004. Keyword(s): clustering, k-means, approximation algorithms, local search, computational geometry. [bibtex-entry]



8. S. Khan and A. Ahmad. Cluster center initialization algorithm for k-means clustering. Pattern Recognition Letters, 25(11):1293-1302, 2004. Note: Short Communication. Keyword(s): k-means clustering, initial cluster centers, cost function, density based multiscale data condensation. [bibtex-entry]



9. Y.-M. Cheung. K*-means: A new generalized k-means clustering algorithm. Pattern Recognition Letters, 24(15):2883-2893, 2003. Note: Short Communication. Keyword(s): clustering analysis, k-means algorithm, cluster number, rival penalization. [bibtex-entry]



10. A. Likas, N. Vlassis, and J. Verbeek. The global k-means clustering algorithm. Pattern Recognition, 36(2):451-461, 2003. Keyword(s): clustering, k-means algorithm, global optimization, k-d trees, data mining. [bibtex-entry]



11. D. Modha and W. Spangler. Feature weighting in k-means clustering. Machine Learning, 52(3):217-237, 2003. Keyword(s): clustering, convexity, convex k-means algorithm, feature combination, feature selection, Fisher’s discriminant analysis, text mining, unsupervised learning. [bibtex-entry]



12. M. Vrahatis, B. Boutsinas, P. Alevizos, and G. Pavlides. The new k-windows algorithm for improving the k-means clustering algorithm. Journal of Complexity, 18(1):375-391, 2002. Keyword(s): k-means clustering algorithm, unsupervised learning, data mining, range search. [bibtex-entry]



13. P. Lagacherie, D. Cazemier, P. van Gaans, and P. Burrough. Fuzzy k-means clustering of fields in an elementary catchment and extrapolation to a larger area. Geoderma, 77(2-4):197-216, 1997. Keyword(s): hydrology, fuzzy sets, clustering. [bibtex-entry]



14. P. Lagacherie, D. Cazemier, P. van Gaans, and P. Burrough. Fuzzy k-means clustering of fields in an elementary catchment and extrapolation to a larger area. Geoderma, 77(2-4):197-216, 1997. Keyword(s): hydrology, fuzzy sets, France. [bibtex-entry]

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