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2.
Methodology for Fleet Uncertainty Reduction with Unsupervised Learning
by Modarres, Ceena, M.S.  University of Maryland, College Park. 2016: 77 pages; 10253325.
3.
A comparison of unsupervised learning techniques for detection of medical abuse in automobile claims
by Yang, Li, M.S.  California State University, Long Beach. 2012: 35 pages; 1521650.
4.
Unsupervised linguistic inference
by Lamar, Michael T., Ph.D.  Brown University. 2010: 165 pages; 3430192.
5.
Learning from time series in the presence of noise: Unsupervised and semi-supervised approaches
by Yankov, Dragomir Dimitrov, Ph.D.  University of California, Riverside. 2008: 165 pages; 3305676.
6.
Speech Synthesis Using Unsupervised Learning
by Datta, Aditi, M.S.  California State University, Long Beach. 2017: 215 pages; 10639160.
7.
Ensemble supervised and unsupervised learning with Kepler variable stars
by Bass, Gideon, Ph.D.  George Mason University. 2015: 120 pages; 10027479.
8.
An Approach to the Solution of Inverse Problem Using Unsupervised Machine Learning
by Dixit, Surabhi, M.S.  California State University, Long Beach. 2018: 64 pages; 10752219.
9.
Clustering and entity resolution for semi-structured data
by Zhao, Chuan, Ph.D.  Washington State University. 2011: 208 pages; 3495962.
10.
Feature Learning as a Tool to Identify Existence of Multiple Biological Patterns
by Patsekin, Aleksandr, M.S.  Purdue University. 2018: 69 pages; 10807747.
11.
Assessing the Robustness of Clustering Methods for use in Vegetation Classification
by Dell, Noah David, M.S.  Southern Illinois University at Edwardsville. 2017: 108 pages; 10275943.
12.
Clustering algorithms for next-generation sequencing data from heterogenous populations
by Prabhakara, Shruthi, Ph.D.  The Pennsylvania State University. 2012: 126 pages; 3737327.
13.
Statistical methods for high-dimensional data analysis
by Gupta, Abhishek, Ph.D.  University of Pennsylvania. 2008: 96 pages; 3346226.
14.
Weighted clustering ensembles
by Al-Razgan, Muna Saleh, Ph.D.  George Mason University. 2008: 146 pages; 3323309.
15.
Scalable learning of actions from unlabeled videos
by O'Hara, Stephen, Ph.D.  Colorado State University. 2013: 127 pages; 3565542.
16.
Supervised and Unsupervised Learning for Semantics Distillation in Multimedia Processing
by Liu, Yu, Ph.D.  State University of New York at Buffalo. 2018: 150 pages; 10932367.
17.
Novel Approach for Characterizing Properties of Nerve Fiber Bundles in Central Nervous System
by Vakilna, Yash Shashank, M.S.  University of California, Irvine. 2018: 62 pages; 10936496.
18.
Understanding activity from trajectory patterns
by Morris, Brendan Tran, Ph.D.  University of California, San Diego. 2010: 146 pages; 3398750.
19.
Probabilistic Clustering Ensemble Evaluation for Intrusion Detection
by McElwee, Steven M., Ph.D.  Nova Southeastern University. 2018: 166 pages; 10844875.
20.
Speech Segregation in Background Noise and Competing Speech
by Hu, Ke, Ph.D.  The Ohio State University. 2012: 147 pages; 10631003.
21.
Unsupervised Learning of Derivational Morphological Constraints
by Sulaiman, Suriani, Ph.D.  Indiana University. 2017: 203 pages; 10687281.
22.
23.
Botnet Detection Using Graph Based Feature Clustering
by Akula, Ravi Kiran, M.S.  Mississippi State University. 2018: 69 pages; 10751733.
24.
Machine learning for the automatic detection of anomalous events
by Fisher, Wendy D., Ph.D.  Colorado School of Mines. 2017: 173 pages; 10258193.
25.
Unsupervised building detection from irregularly spaced LiDAR and aerial imagery
by Shorter, Nicholas Sven, Ph.D.  University of Central Florida. 2009: 168 pages; 3383696.
26.
Improving non-linear approaches to anomaly detection, class separation, and visualization
by Paciencia, Todd J., Ph.D.  Air Force Institute of Technology. 2014: 354 pages; 3667806.
27.
A comparison of particle swarm optimization algorithms in data clustering
by Chung, Yu-Kuang, M.S.  California State University, Long Beach. 2010: 69 pages; 1486378.
28.
Clustering transient data streams by example and by variable
by Chaovalit, Pimwadee, Ph.D.  University of Maryland, Baltimore County. 2009: 224 pages; 3359104.
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