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1.
Clustering transient data streams by example and by variable
by Chaovalit, Pimwadee, Ph.D.  University of Maryland, Baltimore County. 2009: 224 pages; 3359104.
2.
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.
3.
Weighted clustering ensembles
by Al-Razgan, Muna Saleh, Ph.D.  George Mason University. 2008: 146 pages; 3323309.
6.
Studies of spatial clustering of inertial particles in turbulence
by Saw, Ewe Wei, Ph.D.  Michigan Technological University. 2008: 164 pages; 3339459.
7.
Classifying Changes in Neighborhood Racial Composition: St. Louis City and St. Louis County, 1970-2010
by Jones, Matthew, M.S.  Southern Illinois University at Edwardsville. 2018: 169 pages; 10844022.
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9.
Improving the Forecast of Emerging Technologies Using Patent Analysis
by Clouse, Raja, D.Engr.  The George Washington University. 2019: 129 pages; 13422222.
11.
The Semantic Network and Functional Compromise
by Litvin, Pavel Y., Ph.D.  Fielding Graduate University. 2018: 92 pages; 10686507.
12.
Social Network Analysis Applied to Ontology 3D Visualization
by Yu, En, M.C.Sc.  Miami University. 2008: 157 pages; 10631476.
13.
Probabilistic Clustering Ensemble Evaluation for Intrusion Detection
by McElwee, Steven M., Ph.D.  Nova Southeastern University. 2018: 166 pages; 10844875.
14.
Stochastic Data Clustering
by Wessell, Charles David, Ph.D.  North Carolina State University. 2011: 102 pages; 3479609.
15.
Statistical methods for high-dimensional data analysis
by Gupta, Abhishek, Ph.D.  University of Pennsylvania. 2008: 96 pages; 3346226.
16.
Data mining techniques to enable large-scale exploratory analysis of heterogeneous scientific data
by Chopra, Pankaj, Ph.D.  North Carolina State University. 2009: 146 pages; 3360622.
17.
Metrics for Aspect Mining Visualization
by Jorgensen, Gisle J., Ph.D.  Nova Southeastern University. 2018: 85 pages; 10842982.
18.
Comparison and Application of Probabilistic Clustering Methods for System Improvement Prioritization
by Lee, Soo Ho, Ph.D.  The Ohio State University. 2012: 76 pages; 10631201.
19.
Clustering digital ink content to assist with the grading of student work
by Hatfield, Jared, M.Eng.  University of Louisville. 2011: 65 pages; 1504211.
21.
Spectral Analysis of Directed Graphs using Matrix Perturbation Theory
by Li, Yuemeng, Ph.D.  The University of North Carolina at Charlotte. 2017: 143 pages; 10618933.
23.
Methodology for Fleet Uncertainty Reduction with Unsupervised Learning
by Modarres, Ceena, M.S.  University of Maryland, College Park. 2016: 77 pages; 10253325.
24.
Understanding activity from trajectory patterns
by Morris, Brendan Tran, Ph.D.  University of California, San Diego. 2010: 146 pages; 3398750.
26.
Methods in Computational Cosmology
by Vakili, Mohammadjavad, Ph.D.  New York University. 2017: 235 pages; 10260795.
28.
Health Data Analysis and Predictions
by Pandya, Nisarg P., M.S.  California State University, Long Beach. 2018: 41 pages; 10689789.
29.
Time-Slicing of Movement Data for Efficient Trajectory Clustering
by Edens, Jared M., M.S.  Southern Illinois University at Edwardsville. 2014: 46 pages; 1560760.
30.
Computational Methods for Exploring the Tandem Repeat Protein Universe
by Newman, Aaron Matthew, Ph.D.  University of California, Santa Barbara. 2010: 259 pages; 3428004.
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