Geoenvironmental zoning evaluation and optimization

[1]  อนิรุธ สืบสิงห์,et al.  Data Mining Practical Machine Learning Tools and Techniques , 2014 .

[2]  Estimating the mechanical anisotropy of the Iranian lithosphere using the wavelet coherence method , 2013 .

[3]  Ali Akbar Safavi,et al.  Application of neural network and ANFIS model for earthquake occurrence in Iran , 2013, Earth Science Informatics.

[4]  A. Sami,et al.  Multivariate rule-based seismicity map of Iran: a data-driven model , 2012, Bulletin of Earthquake Engineering.

[5]  A. Zamani,et al.  Computer-based self-organized tectonic zoning revisited: Scientific criterion for determining the optimum number of zones , 2011 .

[6]  Mohammad Jafar Tarokh,et al.  Behavioral rules of bank's point-of-sale for segments description and scoring prediction , 2011 .

[7]  A. Zamani,et al.  THE SIGNIFICANCE OF PARAMETERS USED FOR SELF-ORGANIZED TECTONIC ZONING OF IRAN , 2011 .

[8]  D. A. Kumar,et al.  A Survey on Data Mining and Pattern Recognition Techniques for Soil Data Mining , 2011 .

[9]  Ramachandran Baskaran,et al.  A Survey on Internal Validity Measure for Cluster Validation , 2010 .

[10]  Frans Coenen,et al.  Best Clustering Configuration Metrics: Towards Multiagent Based Clustering , 2010, ADMA.

[11]  William T. Freeman,et al.  Latent hierarchical structural learning for object detection , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[12]  Reza Boostani,et al.  Tectonic Zoning of Iran Based on Self-Organizing Map , 2009 .

[13]  Long Zhu,et al.  Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion , 2008, ECCV.

[14]  W. T. Williams Numbers, taxonomy, and judgment , 1967, The Botanical Review.

[15]  E. Engdahl,et al.  Relocation and assessment of seismicity in the Iran region , 2006 .

[16]  Daniel T. Larose,et al.  Discovering Knowledge in Data: An Introduction to Data Mining , 2005 .

[17]  Ahmad Zamani,et al.  Computer-based self-organized tectonic zoning: a tentative pattern recognition for Iran , 2004, Comput. Geosci..

[18]  Michalis Vazirgiannis,et al.  c ○ 2001 Kluwer Academic Publishers. Manufactured in The Netherlands. On Clustering Validation Techniques , 2022 .

[19]  Vipin Kumar,et al.  Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data , 2003, SDM.

[20]  C. Williams Applied Multivariate Data Analysis (2nd Edition) , 2002 .

[21]  Mark J. van der Laan,et al.  A Method to Identify Significant Clusters in Gene Expression Data , 2002 .

[22]  B. Everitt,et al.  Applied Multivariate Data Analysis. , 1993 .

[23]  Ali S. Hadi,et al.  Finding Groups in Data: An Introduction to Chster Analysis , 1991 .

[24]  D. Naiman Pattern Recognition in Practice II , 1988 .

[25]  Anil K. Jain,et al.  Algorithms for Clustering Data , 1988 .

[26]  P. Rousseeuw Silhouettes: a graphical aid to the interpretation and validation of cluster analysis , 1987 .

[27]  Peter J. Rousseeuw,et al.  CLUSTERING LARGE DATA SETS , 1986 .

[28]  J. Makris,et al.  The Gravity Field and Crustal Structure of Iran , 1984 .

[29]  J. Stocklin Structural History and Tectonics of Iran: A Review , 1968 .

[30]  J. H. Ward Hierarchical Grouping to Optimize an Objective Function , 1963 .

[31]  B. Gutenberg,et al.  Seismicity of the Earth and associated phenomena , 1950, MAUSAM.