Data Clustering: Theory, Algorithms, and Applications, ASA-SIAM Serieson Statistics and Applied Probability, 2007. ,
DOI : 10.1137/1.9780898718348
URL : http://cds.cern.ch/record/1560002/files/9780898716238_TOC.pdf
Algorithms for Clustering Data, 1988. ,
A study of some fuzzy cluster validity indices, genetic clustering and application to pixel classification, Fuzzy Sets and Systems, vol.155, issue.2, pp.191-214, 2005. ,
DOI : 10.1016/j.fss.2005.04.009
FCM: The fuzzy c-means clustering algorithm, Computers & Geosciences, vol.10, issue.2-3, pp.191-203, 1984. ,
DOI : 10.1016/0098-3004(84)90020-7
A FCM algorithm for remote-sensing image classification considering spatial relationship and its parallel implementation Wavelet Analysis and Pattern Recognition, ICWAPR '07. International Conference on, pp.994-996, 2007. ,
Automatic Clustering Based on GA-FCM for Pattern Recognition, 2009 Second International Symposium on Computational Intelligence and Design, pp.146-158, 2009. ,
DOI : 10.1109/ISCID.2009.184
Some methods for classification and analysis of multivariate observations, Proc.5th Berkeley Symp Mathematics, statistics and probability, pp.281-296, 1967. ,
ISODATA: A novel method of data analysis and pattern classification, Technical report, 1965. ,
Automatic Clustering Technique (Syneract) for Multispectral Image Analysis, Photogrammetric Engineering and Remote Sensing, vol.1, issue.1, pp.33-40, 2002. ,
Cluster validity in clustering methods, 2012. ,
Hyperspectral Image Classification on Decision level fusion, IJCA Proceedings on International Conference and workshop on Emerging Trends in Technology, pp.1-9, 2012. ,
A validity measure for fuzzy clustering, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.13, issue.8, pp.841-846, 1991. ,
DOI : 10.1109/34.85677
Cluster Validity with Fuzzy Sets, Journal of Cybernetics, vol.3, issue.3, pp.58-73, 1974. ,
DOI : 10.1080/01969727308546047
Mathematical models for systematics and taxonomy, Eighth International Conference on Numerical Taxonomy, pp.143-165, 1975. ,
A Cluster Separation Measure, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.1, issue.2, pp.224-227, 1979. ,
DOI : 10.1109/TPAMI.1979.4766909
A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters, Journal of Cybernetics, vol.3, issue.3, pp.32-57, 1973. ,
DOI : 10.1080/01969727308546046
Adendrite method for cluster analysis, Commun. Statist, pp.1-27, 1974. ,
An extensive comparative study of cluster validity indices, Pattern Recognition, vol.46, issue.1, pp.243-256, 2013. ,
DOI : 10.1016/j.patcog.2012.07.021
Clustering validity checking methods, ACM SIGMOD Record, vol.31, issue.3, pp.19-27, 2002. ,
DOI : 10.1145/601858.601862
Generalized K-Harmonic Means Boosting in Unsupervised Learning, 2000. ,
DOI : 10.1137/1.9781611972719.6
URL : http://epubs.siam.org/doi/pdf/10.1137/1.9781611972719.6
A K-harmonic Means Clustering Algorithm Based on Enhanced Differential Evolution, Sixth International Conference on Measuring Technology and Mechatronics Automation Fifth International Conference on Measuring Technology and Mechatronics Automation, pp.13-16, 2013. ,
Ensemble based Distributed K-Harmonic Means Clustering, International Journal of Recent Trends in Engineering, vol.2, issue.1, pp.125-129, 2009. ,
WB-index: A sum-of-squares based index for cluster validity, Data & Knowledge Engineering, vol.92, pp.77-89, 2014. ,
DOI : 10.1016/j.datak.2014.07.008
K-means???: Clustering by gradual data transformation, Pattern Recognition, vol.47, issue.10, pp.3376-3386, 2014. ,
DOI : 10.1016/j.patcog.2014.03.034
New Version of Davies-Bouldin Index for Clustering Validation Based on Cylindrical Distance, 2013 32nd International Conference of the Chilean Computer Science Society (SCCC), 2013. ,
DOI : 10.1109/SCCC.2013.29
Huaijin GongA K-harmonic Means Clustering Algorithm Based on Enhanced Differential Evolution, Measuring Technology and Mechatronics Automation (ICMTMA), 2013 Fifth International Conference on, pp.13-16 ,
A comparative study of efficient initialization methods for the k-means clustering algorithm, Expert Systems with Applications, 2013. ,
DOI : 10.1016/j.eswa.2012.07.021