Books on the topic 'High dimensional data'

Masulli, Francesco, Alfredo Petrosino, and Stefano Rovetta, eds. Clustering High--Dimensional Data. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-48577-4.

Shinmura, Shuichi. High-dimensional Microarray Data Analysis. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-5998-9.

Bühlmann, Peter, and Sara van de Geer. Statistics for High-Dimensional Data. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20192-9.

Bolón-Canedo, Verónica, Noelia Sánchez-Maroño, and Amparo Alonso-Betanzos. Feature Selection for High-Dimensional Data. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21858-8.

Frigessi, Arnoldo, Peter Bühlmann, Ingrid K. Glad, Mette Langaas, Sylvia Richardson, and Marina Vannucci, eds. Statistical Analysis for High-Dimensional Data. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27099-9.

Li, Xiaochun, and Ronghui Xu, eds. High-Dimensional Data Analysis in Cancer Research. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-69765-9.

Xiaochun, Li, and Xu Ronghui 1969-, eds. High-dimensional data analysis in cancer research. New York, NY: Springer, 2009.

Xiaochun, Li, and Xu Ronghui 1969-, eds. High-dimensional data analysis in cancer research. New York, NY: Springer, 2009.

A, Landgrebe D., and United States. National Aeronautics and Space Administration., eds. Spectral feature design in high dimensional multispectral data. West Lafayette, Ind: School of Electrical Engineering, Purdue University, 1988.

Angel Garcia de la Garza. Functional Data Analysis and Machine Learning for High-Dimensional Structured Data. [New York, N.Y.?]: [publisher not identified], 2022.

Bühlmann, Peter. Statistics for High-Dimensional Data: Methods, Theory and Applications. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.

Wang, Jianzhong. Geometric Structure of High-Dimensional Data and Dimensionality Reduction. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-27497-8.

Zhu, Huichen. Robust Statistical Approaches Dealing with High-Dimensional Observational Data. [New York, N.Y.?]: [publisher not identified], 2019.

service), SpringerLink (Online, ed. Geometric Structure of High-Dimensional Data and Dimensionality Reduction. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011.

Lee, Chulhee. Feature extraction and classification algorithms for high dimensional data. West Lafayette, Ind: School of Electrical Engineering, Purdue University, 1993.

Levine, Jacob Harrison. Learning cell states from high-dimensional single-cell data. [New York, N.Y.?]: [publisher not identified], 2016.

Chee-yong, Chan, and International Conference on Database Systems for Advanced Applications (13th : 2008 : New Delhi), eds. Data quality and high-dimensional data analysis: Proceedings of the DASFAA 2008 workshops. Singapore: World Scientific, 2009.

Huang, Chien-Hsun. Interaction-Based Learning for High-Dimensional Data with Continuous Predictors. [New York, N.Y.?]: [publisher not identified], 2014.

Garcia-Arellano, Christian M. Quantization techniques for similarity search in high-dimensional data spaces. Ottawa: National Library of Canada, 2002.

C, Berger Rutherford, and U.S. Army Engineer Waterways Experiment Station., eds. HIVEL2D, a two-dimensional flow model for high-velocity channels. Vicksburg, MS: US Army Corps of Engineers, Waterways Experiment Station, 1994.

Zhang, Hongmei. Analyzing High-Dimensional Gene Expression and DNA Methylation Data with R. Boca Raton, FL : CRC Press, 2020. | Series: Chapman & Hall/CRC mathematical and computational biology series: Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9780429155192.

Kasim, Adetayo, Ziv Shkedy, Sebastian Kaiser, Sepp Hochreiter, and Willem Talloen, eds. Applied Biclustering Methods for Big and High-Dimensional Data Using R. Boca Raton : Taylor & Francis, CRC Press, 2016.: Chapman and Hall/CRC, 2016. http://dx.doi.org/10.1201/9781315373966.

Amaratunga, Dhammika, Javier Cabrera, and Ziv Shkedy. Exploration and Analysis of DNA Microarray and Other High-Dimensional Data. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118364505.

Pourahmadi, Mohsen. High-Dimensional Covariance Estimation: With High-Dimensional Data. Wiley & Sons, Incorporated, John, 2013.

Pourahmadi, Mohsen. High-Dimensional Covariance Estimation: With High-Dimensional Data. Wiley & Sons, Incorporated, John, 2013.

Pourahmadi, Mohsen. High-Dimensional Covariance Estimation: With High-Dimensional Data. Wiley & Sons, Limited, John, 2013.

Pourahmadi, Mohsen. High-Dimensional Covariance Estimation: With High-Dimensional Data. Wiley & Sons, Incorporated, John, 2013.

Cai, Tony, and Xiaotong Shen. High-Dimensional Data Analysis. WORLD SCIENTIFIC / HIGHER EDUCATION PRESS, CHINA, 2010. http://dx.doi.org/10.1142/7948.

Statistical Inference from High Dimensional Data. MDPI, 2021. http://dx.doi.org/10.3390/books978-3-0365-0945-7.

Sobczak-Michalowska, Borah, and Polkowski. Applications of Synthetic High Dimensional Data. IGI Global, 2024.

Sobczak-Michalowska, Borah, and Polkowski. Applications of Synthetic High Dimensional Data. IGI Global, 2024.

Alonso-Betanzos, Amparo, Noelia Sánchez-Maroño, and Verónica Bolón-Canedo. Feature Selection for High-Dimensional Data. Springer, 2015.

Roze, Michael J. Scientific visualization of high-dimensional data. 1995.

Alonso-Betanzos, Amparo, Noelia Sánchez-Maroño, and Verónica Bolón-Canedo. Feature Selection for High-Dimensional Data. Springer, 2016.

Alonso-Betanzos, Amparo, Noelia Sánchez-Maroño, and Verónica Bolón-Canedo. Feature Selection for High-Dimensional Data. Springer, 2015.

Sobczak-Michalowska, Borah, and Polkowski. Applications of Synthetic High Dimensional Data. IGI Global, 2024.

Sobczak-Michalowska, Borah, and Polkowski. Applications of Synthetic High Dimensional Data. IGI Global, 2024.

Koch, Inge. Analysis of Multivariate and High-Dimensional Data. University of Cambridge ESOL Examinations, 2014.

Wu, Michael Chiao-An. Statistical methods for high-dimensional genomic data. 2009.

Xu, Ronghui, and Xiaochun Li. High-Dimensional Data Analysis in Cancer Research. Springer New York, 2010.

Dong, Junfeng. Indexing high-dimensional data for main memory. 2004.

Giraud, Christophe. Introduction to High-Dimensional Statistics. CRC Press LLC, 2021.

High-Dimensional Statistics: A Non-Asymptotic Viewpoint. Cambridge University Press, 2019.

Wainwright, Martin J. High-Dimensional Statistics: A Non-Asymptotic Viewpoint. Cambridge University Press, 2019.

Kogan, Jacob. Introduction to Clustering Large and High-Dimensional Data. Cambridge University Press, 2006.

Zhang, Linghai. Analyzing high-dimensional microarray data using Variational-SOM. 2005.

Emmert-Streib, Frank, and Matthias Dehmer. Statistical Diagnostics for Cancer: Analyzing High-Dimensional Data. Wiley & Sons, Incorporated, John, 2012.

Emmert-Streib, Frank, and Matthias Dehmer. Statistical Diagnostics for Cancer: Analyzing High-Dimensional Data. Wiley & Sons, Limited, John, 2013.

Zhang, Linghai. Analyzing high-dimensional microarray data using Variational-SOM. 2005.

Kogan, Jacob. Introduction to Clustering Large and High-Dimensional Data. Cambridge University Press, 2006.