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Determining the quality of the results obtained by clustering techniques is a key issue in unsupervised machine learning.
J. W. Perry, A. Kent, and M. M. Berry, “Machine literature searching x. machine language; factors underlying its design and development,” American Documentation
1955
Earlier work this paper cites.
R. Sokal and F. Rohlf, “The comparison of dendrograms by objective methods,” Taxon
1962
Earlier work this paper cites.
G. H. Ball and D. J. Hall, “ISODATA, a novel method of data analysis and pattern classification,” Technical report AD0699616, Stanford Research Institute, 1965
1965
Earlier work this paper cites.
T. Calinski and J. Harabasz, “A dendrite method for cluster analysis,” Communications in Statistics - Theory and Methods
1974
Earlier work this paper cites.
J. C. Dunn, “Well-separated clusters and optimal fuzzy partitions,” Journal of Cybernetics
1974
Earlier work this paper cites.
probability and mathematical statistics, John Wiley & Sons, Inc., 1975
J. A. Hartigan, Clustering Algotihms · 1975
Earlier work this paper cites.
Prentice-Hall, Inc, 1988
A. K. Jain and R. C. Dubes, Algorithms for clustering data · 1988
Earlier work this paper cites.
X. L. Xie and G. Beni, “A validity measure for fuzzy clustering,” IEEE Transactions on Pattern Analysis and Machine Intelligence
1991
Earlier work this paper cites.
L. Xu, “Bayesian ying–yang machine, clustering and number of clusters,” Pattern Recognition Letters
1997
Cited alongside, same era.
M. Halkidi, Y. Batistakis, and M. Vazirgiannis, “On clustering validation techniques,” Journal of Intelligent Information Systems
2001
Cited alongside, same era.
V. Estivill-Castro, “Why so many clustering algorithms: A position paper,” SIGKDD Explorations Newsletter
2002
Cited alongside, same era.
J. Kleinberg, “An impossibility theorem for clustering,” in Proceedings of the 15th International Conference on Neural Information Processing Systems
2002
Cited alongside, same era.
Elsevier Inc., second ed., 2003
S. Theodoridis and K. Koutroumbas, Pattern Recognition · 2003
Cited alongside, same era.
Pearson Education, Inc., 2005
D. Greene, P. Cunningham, and R. Mayer, “Unsupervised learning and clustering,” in Machine Learning Techniques for Multimedia
2008
Later among the works it cites.
Cognitive technologies, Springer, 2008
M. Cord and P. Cunningham, eds., Machine learning techniques for multimedia: case studies on organization and retrieval ; with 20 tables · 2008
Later among the works it cites.
Dissertations in forestry and natural sciences, University of Eastern Finland, 2012
Q. Zhao, Cluster Validity in Clustering Methods · 2012
Later among the works it cites.
J. Bergstra and Y. Bengio, “Random search for hyper-parameter optimization,” J. Mach. Learn. Res
2012
Later among the works it cites.
Springer Science+Business Media, 1st edition ed., 2015
C. C. Aggarwal, Data mining: the textbook · 2015
Later among the works it cites.
Springer International Publishing, 2016
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P.-N. Tan, M. Steinbach, and V. Kumar, Introduction to Data Mining · 2005
Cited alongside, same era.
J. Handl, J. Knowles, and D. B. Kell, “Computational cluster validation in post-genomic data analysis,” Bioinformatics
2005
Cited alongside, same era.
ASA-SIAM Series on Statistics and Applied Mathematics, Society for Industrial and Applied Mathematics, 2007
G. Gan, C. Ma, and J. Wu, Data Clustering: Theory, Algorithms, and Applications · 2007
Cited alongside, same era.
M. E. Celebi and K. Aydin, Unsupervised learning algorithms · 2016
Later among the works it cites.
Data Mining and Knowledge Discovery Series, Chapman and Hall/CRC, 2016
C. C. Aggarwal and C. K. Reddy, Data Clustering: Algorithms and Applications · 2016
Later among the works it cites.
F. Berzal, Redes Neuronales & Deep Learning - Volumen 2: Regularización, optimización y arquitecturas especializadas · 2019
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