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1.
Weighted clustering ensembles
by Al-Razgan, Muna Saleh, Ph.D.  George Mason University. 2008: 146 pages; 3323309.
2.
Weighted Distance Weighted Discrimination and pairwise variable selection for classification
by Qiao, Xingye, Ph.D.  The University of North Carolina at Chapel Hill. 2010: 136 pages; 3418734.
3.
Modeling alternatives to solve the connected graph k-clustering problem
by Es-Sakli, Nada, M.S.  Lehigh University. 2011: 74 pages; 1488515.
4.
Clustering transient data streams by example and by variable
by Chaovalit, Pimwadee, Ph.D.  University of Maryland, Baltimore County. 2009: 224 pages; 3359104.
5.
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.
6.
Local spatial modeling using Geographically Weighted Regression (GWR)
by Wankie, Che, M.S.  California State University, Long Beach. 2013: 112 pages; 1523087.
7.
Studies of spatial clustering of inertial particles in turbulence
by Saw, Ewe Wei, Ph.D.  Michigan Technological University. 2008: 164 pages; 3339459.
8.
Clustering and entity resolution for semi-structured data
by Zhao, Chuan, Ph.D.  Washington State University. 2011: 208 pages; 3495962.
9.
Clustering of Large-Scale Protein Datasets
by Abnousi, Armen, Ph.D.  Washington State University. 2018: 118 pages; 10641432.
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11.
Covering and Clustering with Outliers and Other Constraints
by Inamdar, Tanmay, Ph.D.  The University of Iowa. 2020: 187 pages; 28030415.
12.
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.
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15.
Probabilistic Clustering Ensemble Evaluation for Intrusion Detection
by McElwee, Steven M., Ph.D.  Nova Southeastern University. 2018: 166 pages; 10844875.
17.
Application of Graph Theoretic Clustering on Some Biomedical Data Sets
by Ahlert, Darla, M.S.  Southern Illinois University at Edwardsville. 2015: 59 pages; 1588658.
19.
Development of Prognostic Systems for Cancer Patients
by Wang, Huan, Ph.D.  The George Washington University. 2020: 102 pages; 27832139.
20.
Advanced neural network clustering techniques for liquid crystal texture classification
by Karaszi, Zoltan, M.C.Sc.  Kent State University. 2013: 71 pages; 1555292.
21.
Model Based Clustering Algorithms with Applications
by Wei, Wutao, Ph.D.  Purdue University. 2018: 124 pages; 10830711.
22.
Clustering Methods for Gene Expression Data of Oxytricha Trifallax
by Houfek, Kyle, M.A.  University of South Florida. 2020: 40 pages; 27741172.
23.
Quantifying Lithochemical Diversity of Martian Materials Using Hierarchical Clustering and a Similarity Index for Classification
by Bouchard, Michael Conner, Ph.D.  Washington University in St. Louis. 2019: 198 pages; 13861370.
28.
Clustering algorithms for next-generation sequencing data from heterogenous populations
by Prabhakara, Shruthi, Ph.D.  The Pennsylvania State University. 2012: 126 pages; 3737327.
29.
Survey analysis: Methodology and application using CHIS data
by Levy, Melanie E., M.S.  California State University, Long Beach. 2014: 85 pages; 1527014.
30.
Advanced computer-aided diagnosis and prognosis for breast MRI
by Bhooshan, Neha, Ph.D.  The University of Chicago. 2010: 233 pages; 3432700.
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