แก้ดราฟต์ 2

l4proj.bib

@@ -204,4 +204,54 @@ publisher={Springer},
 author={Borg, Ingwer and Groenen, Patrick J. F.},
 year={1997},
 pages={207–-212},
+}
+
+@article{kPCA,
+author = { Bernhard Schölkopf  and  Alexander Smola  and  Klaus-Robert Müller },
+title = {Nonlinear Component Analysis as a Kernel Eigenvalue Problem},
+journal = {Neural Computation},
+volume = {10},
+number = {5},
+pages = {1299-1319},
+year = {1998},
+doi = {10.1162/089976698300017467},
+
+URL = { 
+        https://doi.org/10.1162/089976698300017467
+    
+},
+eprint = { 
+        https://doi.org/10.1162/089976698300017467
+    
+}
+,
+    abstract = { A new method for performing a nonlinear form of principal component analysis is proposed. By the use of integral operator kernel functions, one can efficiently compute principal components in high-dimensional feature spaces, related to input space by some nonlinear map—for instance, the space of all possible five-pixel products in 16 × 16 images. We give the derivation of the method and present experimental results on polynomial feature extraction for pattern recognition. }
+}
+
+@ARTICLE{Sammon, 
+author={J. W. Sammon}, 
+journal={IEEE Transactions on Computers}, 
+title={A Nonlinear Mapping for Data Structure Analysis}, 
+year={1969}, 
+volume={C-18}, 
+number={5}, 
+pages={401-409}, 
+keywords={Clustering, dimensionality reduction, mappings, multidimensional scaling, multivariate data analysis, nonparametric, pattern recognition, statistics.;Algorithm design and analysis;Computer errors;Data analysis;Data structures;Euclidean distance;Helium;Multidimensional systems;Pattern recognition;Testing;Vectors;Clustering, dimensionality reduction, mappings, multidimensional scaling, multivariate data analysis, nonparametric, pattern recognition, statistics.}, 
+doi={10.1109/T-C.1969.222678}, 
+ISSN={0018-9340}, 
+month={May},}
+
+@article{LMDS,
+title = "Local multidimensional scaling",
+journal = "Neural Networks",
+volume = "19",
+number = "6",
+pages = "889 - 899",
+year = "2006",
+note = "Advances in Self Organising Maps - WSOM’05",
+issn = "0893-6080",
+doi = "https://doi.org/10.1016/j.neunet.2006.05.014",
+url = "http://www.sciencedirect.com/science/article/pii/S0893608006000724",
+author = "Jarkko Venna and Samuel Kaski",
+keywords = "Information visualization, Manifold extraction, Multi-dimensional scaling (MDS), Nonlinear dimensionality reduction, Non-linear projection, Gene expression"
 }