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91.
92.
A Static Formulation of the History Bound Problem
by Matsieva, Julia, M.S.  University of California, Davis. 2014: 55 pages; 1565692.
94.
Clustering transient data streams by example and by variable
by Chaovalit, Pimwadee, Ph.D.  University of Maryland, Baltimore County. 2009: 224 pages; 3359104.
95.
Competing Factors in Phonological Learning Models: The Acquisition of English Consonant Clusters
by Reynolds, Amy R., M.A.  The University of North Carolina at Chapel Hill. 2011: 98 pages; 1500741.
96.
Multilevel Analysis Methods for Partially Nested Cluster Randomized Trials
by Sanders, Elizabeth A., Ph.D.  University of Washington. 2011: 83 pages; 3452760.
97.
A Mass Spectrometric Study of Reactions within Halogenated Benzene Rings and Ammonia
by Butterworth, Kristin Marie, Ph.D.  State University of New York at Buffalo. 2012: 229 pages; 3541080.
98.
A Bayesian Surveillance System for Detecting Cluster of Non-Infectious Diseases
by Kim, Albert Young-Sun, Ph.D.  University of Washington. 2011: 154 pages; 3485590.
99.
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.
100.
Phylogenomic Framework of the Plant Family Acanthaceae
by Arias, Joshua Daniel, M.S.  California State University, Long Beach. 2019: 95 pages; 13899203.
101.
Spectroscopic Investigation of Deposited InP Nanocrystals and Small Cu Clusters
by Adam, Mihai Sorin, Ph.D.  Universitaet Hamburg (Germany). 2004: 146 pages; 13853879.
102.
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.
103.
Chemical Tagging of Solar Neighborhood Kinematic Streams
by Stringer, Christopher Bayard, Ph.D.  The University of North Carolina at Chapel Hill. 2011: 132 pages; 3495533.
106.
Characterization of protein function using automated computational methods
by Wu, Shirley, Ph.D.  Stanford University. 2009: 179 pages; 3364515.
107.
The Destructive Birth of Massive Stars & Massive Star Clusters
by Rosen, Anna L., Ph.D.  University of California, Santa Cruz. 2017: 289 pages; 10274404.
108.
Disruptions love company: Investigating flow disruption clusters in robotic surgery
by Curtis, Samuel A., M.S.  California State University, Long Beach. 2017: 46 pages; 10253646.
109.
Bayesian Biclustering on Discrete Data: Variable Selection Methods
by Guo, Lei, Ph.D.  Harvard University. 2013: 143 pages; 3600176.
110.
Application of Graph Theoretic Clustering on Some Biomedical Data Sets
by Ahlert, Darla, M.S.  Southern Illinois University at Edwardsville. 2015: 59 pages; 1588658.
111.
A Motif Discovery and Analysis Pipeline for Heterogeneous Next-Generation Sequencing Data
by Ramsay, Trevor, M.S.  University of California, Davis. 2015: 72 pages; 1599520.
112.
Dynamics of Noble Gas Cluster Expansion Driven by Intense Pulses of Extreme Ultraviolet Light
by Murphy, Brendan Francis, Ph.D.  The University of Texas at Austin. 2009: 135 pages; 3443950.
113.
Clustering Methods for Discovering Patterns in the Alzheimer's Disease Neuroimaging Initiative (ADNI) Data
by Fraundorf, Scott, M.S.  Southern Illinois University at Edwardsville. 2019: 213 pages; 13877627.
114.
Applications and extensions of pClust to big microbial proteomic data
by Lockwood, Svetlana, Ph.D.  Washington State University. 2016: 100 pages; 10139743.
115.
Computer Simulations of Cluster and Crystal Formation in Anisotropic Colloid-Droplet Mixtures
by Pham Van, Hai, Dr.Nat.  Universitaet Bayreuth (Germany). 2017: 120 pages; 10733818.
116.
118.
Time-Slicing of Movement Data for Efficient Trajectory Clustering
by Edens, Jared M., M.S.  Southern Illinois University at Edwardsville. 2014: 46 pages; 1560760.
119.
120.
Clustering datasets with singular value decomposition
by Douglas, Emmeline P., M.S.  College of Charleston. 2008: 85 pages; 1461189.
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