Tenenbaum Aaron MPrentice HallLANGSAN, Y. Data structures using C and C++. Englewood Cliffs: Prentice-Hall, 1996.Langsam, M.J. Augenstein, A.M. Tenenbaum, “Data Structures Using C And C++,” Prentice Hall, 1996
Tenenbaum J.B., De Silva V., Langford J.C. A global geometric framework for nonlinear dimensionality reduction Science, 290 (5500) (2000), pp. 2319-2323 View in ScopusGoogle Scholar [38] Roweis S.T., Saul L.K. Nonlinear dimensionality reduction by locally linear embedding Science, 290 (...
The data is stored in a MAT file as an array of structures. Load the data set into the workspace. waferData = load(dataMatFile); waferData = waferData.data; For an example showing how to process this data for deep learning, see Classify Defects on Wafer Maps Using Deep Learning (Compu...
High-throughput studies of biological systems are rapidly accumulating a wealth of 'omics'-scale data. Visualization is a key aspect of both the analysis and understanding of these data, and users now have many visualization methods and tools to choose f
Secondly, with intuition and motivation in place, Sect. 4 is devoted to specific implications of the topological perspective. We describe which structures of a dataset are preserved when inferring the topological structure by finding connected components and enhancing separability (using the UMAP algorith...
All physical laws are described as mathematical relationships between state variables. These variables give a complete and non-redundant description of the relevant system. However, despite the prevalence of computing power and artificial intelligence, t
Tenenbaum JB, Silva V, Langford JC. A global geometric framework for nonlinear dimensionality reduction. Science. 2000; 290(5500):2319–323. ArticleGoogle Scholar Liu H, Motoda H. On issues of instance selection. Data Min Knowl Disc. 2002; 6(2):115–30. ...
Tenenbaum, J. B., De Silva, V. & Langford, J. C. A global geometric framework for nonlinear dimensionality reduction. Science 290, 2319–2323 (2000). Article PubMed CAS Google Scholar Becht, E. et al. Dimensionality reduction for visualizing single-cell data using UMAP. Nat. Biotechnol....
Zhu, Y., Comaniciu, D., Schwartz, S., Ramesh, V. (2002). Multimodal Data Representations with Parameterized Local Structures. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds) Computer Vision — ECCV 2002. ECCV 2002. Lecture Notes in Computer Science, vol 2350. Springer,...
www.cs.princeton.edu/ugradpgm/spe/summer02/melson/.* www.cs.oberlin.edu/cs280/Lectures/lec7.ppt.* www.csm.astate.edu/˜rossa/datastruc/kasiski.html.* Tenenbaum, Aaron M. and Augenstein, Moshe J.; Data Structures Using Pascal; Prentice-Hall Inc.; 1981; pp. 515-520. Attorney...