REFERENCE
HUANG, L., NGUYEN, X., GAROFALAKIS, M., JORDAN, M. I., JOSEPH, A. & TAFT, N. In-network PCA and anomaly detection. Advances in Neural Information Processing Systems, 2007. 617-624.
JONSSON, P. Classification of road conditions: From camera images and weather data. 2011 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA) Proceedings, 2011. IEEE, 1-6.
LEE, Y.-J., YEH, Y.-R. & WANG, Y.-C. F. 2012. Anomaly detection via online oversampling principal component analysis. IEEE transactions on knowledge and data engineering, 25, 1460-1470.
LI, L., SU, X., ZHANG, Y., HU, J. & LI, Z. Traffic prediction, data compression, abnormal data detection and missing data imputation: An integrated study based on the decomposition of traffic time series. 17th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2014. IEEE, 282-289.
LI, Q., JIANMING, H. & YI, Z. A flow volumes data compression approach for traffic network based on principal component analysis. 2007 IEEE Intelligent Transportation Systems Conference, 2007. IEEE, 125-130.
SHAMIR, O. Convergence of stochastic gradient descent for PCA. International Conference on Machine Learning, 2016. 257-265.
SMITH, L. I. 2002. A tutorial on principal components analysis.
TSEKERIS, T. & STATHOPOULOS, A. 2006. Measuring variability in urban traffic flow by use of principal component analysis. Journal of Transportation and Statistics, 9, 49.
WALL, M. E., RECHTSTEINER, A. & ROCHA, L. M. 2003. Singular value decomposition and principal component analysis. A practical approach to microarray data analysis. Springer.
XING, X., ZHOU, X., HONG, H., HUANG, W., BIAN, K. & XIE, K. Traffic flow decomposition and prediction based on robust principal component analysis. 2015 IEEE 18th International Conference on Intelligent Transportation Systems, 2015. IEEE, 2219-2224.
ZHANG, C., CHEN, X. & CHEN, W.-B. A PCA-based vehicle classification framework. 22nd International Conference on Data Engineering Workshops (ICDEW'06), 2006. IEEE, 17-17.
"k-means++: The Advantages of Careful Seeding - ACM Digital ...." 7 Jan. 2007, https://dl.acm.org/citation.cfm?id=1283383.1283494. Accessed 20 Sep. 2019.
"An Algorithm for Vector Quantizer Design - IEEE Journals ...." https://ieeexplore.ieee.org/abstract/document/1094577/. Accessed 20 Sep. 2019.
"Least squares quantization in PCM - IEEE Journals & Magazine." https://ieeexplore.ieee.org/abstract/document/1056489/. Accessed 20 Sep. 2019.
"Learning the k in k-means - NIPS Proceedings." https://papers.nips.cc/paper/2526-learning-the-k-in-k-means.pdf. Accessed 20 Sep. 2019.
"Review on determining number of Cluster in K-Means Clustering." http://www.academia.edu/5514429/Review_on_determining_number_of_Clus. Accessed 20 Sep. 2019.
"Data clustering: 50 years beyond K-means - ScienceDirect." 1 Jun. 2010, https://www.sciencedirect.com/science/article/pii/S0167865509002323. Accessed 20 Sep. 2019.
"A tutorial on spectral clustering | SpringerLink." 22 Aug. 2007, https://link.springer.com/article/10.1007/s11222-007-9033-z. Accessed 24 Sep. 2019.
"Spectral Graph Theory - American Mathematical Society." https://www.ams.org/books/cbms/092/. Accessed 24 Sep. 2019.
"Some applications of Laplace eigenvalues of graphs ...." https://link.springer.com/chapter/10.1007/978-94-015-8937-6_6. Accessed 24 Sep. 2019.
"On spectral clustering." 3 Jan. 2001, https://dl.acm.org/citation.cfm?id=2980649. Accessed 24 Sep. 2019.
"Normalized cuts and image segmentation - IEEE Journals & Magazine." https://ieeexplore.ieee.org/document/868688. Accessed 24 Sep. 2019.
"Influence of graph construction on graph-based clustering ...." https://papers.nips.cc/paper/3496-influence-of-graph-construction-on-graph-based-clustering-measures. Accessed 24 Sep. 2019.
"A. K. Jain , M. N. Murty , P. J. Flynn, Data clustering: a review ...." 1 Sep. 1999, https://dl.acm.org/citation.cfm?id=331504. Accessed 26 Sep. 2019.
"Efficient agglomerative hierarchical clustering - ScienceDirect." 1 Apr. 2015, https://www.sciencedirect.com/science/article/pii/S0957417414006150. Accessed 26 Sep. 2019.
"Step-Wise Clustering Procedures - jstor." https://www.jstor.org/stable/2282912. Accessed 26 Sep. 2019.
"Data Clustering: Algorithms and Applications - CRC Press Book." https://www.crcpress.com/Data-Clustering-Algorithms-and-Applications/Aggarwal-Reddy/p/book/9781466558212. Accessed 26 Sep. 2019.
"Why so many clustering algorithms: a position paper." 1 Jun. 2002, https://dl.acm.org/citation.cfm?id=568575. Accessed 26 Sep. 2019.
"On Using Class-Labels in Evaluation of Clusterings - Oregon ...." http://eecs.oregonstate.edu/research/multiclust/Evaluation-4.pdf. Accessed 26 Sep. 2019.
"MultiClust 2010: Discovering, Summarizing and Using ...." http://www.kdd.org/exploration_files/v12-02-12-MultiClust2010.pdf. Accessed 26 Sep. 2019.
"A Method for Comparing Two Hierarchical Clusterings - jstor." https://www.jstor.org/stable/2288117. Accessed 26 Sep. 2019.
"Encyclopedia of Computer Science and Technology: Volume 45 - ...." https://books.google.com/books?id=Nf_Kg5WfdhIC&pg=PR5&lpg=PR5&dq=wards+and+upgma+clustering+of+data+with+very+high+dimensionality&source=bl&ots=d8oQbVAylb&sig=ACfU3U29oHYBE5f5UezddI3khgidIWaAFA&hl=en. Accessed 26 Sep. 2019.
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