Biology Reference
In-Depth Information
ence zones. Pattern Recognition Letters , 22: 1557-1568, 2001.
[15]
N. C. Jain, A. Indrayan, and L. R. Goel. Monte Carlo comparison of six hierarchical
clustering on random data. Pattern Recognition , 19(1): 95-99, 1986.
[16]
A. K. Jain, M. N. Murty, and P. J. Flynn. Data clustering: a review. ACM Computing
Surveys , 31(3): 264-323, 1999.
[17]
R. Johnson and D. Wichern. Applied multivariate statistical analysis . Prentice Hall,
New Jersey, 1998.
[18]
G. Karypis, E.-H. Han, and V. Kumar. CHAMELEON: A hierarchical clustering al-
gorithm using dynamic modeling Computer , 32(8): 68-75, 1999.
[19]
T. Kohonen. Self-Organizing Maps . Springer, New York, 2001.
[20]
I. Kojadinovic. Agglomerative hierarchical clustering of continuous variables based
on mutual information. Comp. Stat. and Data Analysis , 46; 269-294, 2004.
[21]
R. Kothari and D. Pitts. On finding the number of clusters. Pattern Recognition Let-
ters , 20: 405-416, 1999.
[22]
A. Lukasova. Hierarchical agglomerative clustering procedure. Pattern Recognition ,
11: 365-381, 1979.
[23]
D. Montgomery and G. Runger. Applied statistics and probability for engineers . John
Wiley and Sons, New Jersey, 2007.
[24]
E. Nakamura and N. Kehtarnavaz. Determining number of clusters and prototype lo-
cations via multi-scale clustering. Pattern Recognition Letters , 19: 1265-1283, 1998.
[25]
Y. Jin. Fuzzy modeling of high-dimensional systems: complexity reduction and inter-
pretability improvement. IEEE Transactions on Fuzzy Systems , 8(2): 212-221, 2000.
[26]
C. Priebe and D. Marchette. Adaptive mixture density estimation. Pattern Recogni-
tion , 26: 771-785, 1993.
[27]
A. Strehl, J. Ghosh, and R. Mooney Impact of similarity measures on web-page clus-
tering. In AAAI-2000: Workshop of Artificial Intelligence for Web Search , pages 58-
64, 2000.
[28]
H. Tao and T. Huang. Color image edge detection using cluster analysis. In Proceed-
ings of International Conference on Image Processing , 1, pages 834-836, 1997.
[29]
W.-J. Wang, Y.-X. Tan, J.-H. Jiang, J.-Z. Lu, G.-L. Shen, and R.-Q. Yu. Cluster-
ing based on kernel density estimation: nearest local maximum searching algorithm.
Chemometrics and Intelligent Laboratory Systems , 72: 1-8, 2004.
[30]
J. H. Ward, Jr. Hierarchical grouping to optimize an objective function. Journal of the
American Statistical Association , 58: 236-244, 1963.
[31]
C.-P. Wei, Y.-H. Lee, and C.-M. Hsu. Empirical comparison of fast clustering algo-
rithms for large data sets. In Proceedings of the 33rd Hawaii International Confer-
ence on System Sciences , 2000.
[32]
L. Xu and M. I. Jordan. On convergence properties of the EM algorithm for Gaussian
mixtures. Neural Computation , 8(1): 129-151, 1996.
[33]
H. Zhang and S. Albin. Determining the number of operational modes in baseline
multivariate spc data. IIE Transactions , 39(12): 1103-1110, 2007.
Search WWH ::




Custom Search