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1.
ASA and homogeneity hypothesis using K-means cluster analysis
by Siemieniec, Gina M., M.A.  Roosevelt University. 2008: 43 pages; 1450566.
2.
Applications of k-means and spectral clustering to hyperspectral video sequences
by Sunu, Justin, M.S.  California State University, Long Beach. 2014: 72 pages; 1526959.
3.
7.
Improving the Forecast of Emerging Technologies Using Patent Analysis
by Clouse, Raja, D.Engr.  The George Washington University. 2019: 129 pages; 13422222.
8.
Clustering Methods for Gene Expression Data of Oxytricha Trifallax
by Houfek, Kyle, M.A.  University of South Florida. 2020: 40 pages; 27741172.
9.
Identification and Characterization of Protein-Ligand Binding Modes via Molecular Dynamics
by Bremer, Parker Ladd, M.S.  California State University, Long Beach. 2019: 81 pages; 13859447.
10.
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.
11.
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.
12.
A Critical Study of Geospatial Algorithm Use in Crime Analysis and Predictive Policing
by Weathington, Katy, M.S.  Marquette University. 2020: 75 pages; 27837264.
13.
Visual analytics techniques for exploration of spatiotemporal data
by Ferreira, Nivan, Ph.D.  Polytechnic Institute of New York University. 2015: 132 pages; 10043943.
14.
WLAN Access Points RSSI-Fingerprinting and Compressive Sensing for Indoor Positioning Systems
by Al-Moukhles, Hussein Nasser Wazeer, Ph.D.  Western Michigan University. 2018: 131 pages; 13877013.
15.
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.
16.
Development of Geodetic Imaging Techniques and Machine Learning for Marsh Observation
by Nguyen, Chuyen, Ph.D.  Texas A&M University - Corpus Christi. 2019: 205 pages; 13859552.
17.
Towards a systematic study of big data performance and benchmarking
by Ekanayake, Saliya, Ph.D.  Indiana University. 2016: 120 pages; 10195564.
18.
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.
20.
Cluster analysis for cognitive diagnosis: Theory and applications
by Chiu, Chia-Yi, Ph.D.  University of Illinois at Urbana-Champaign. 2008: 109 pages; 3337778.
22.
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.
24.
A computer vision approach to classification of circulating tumor cells
by Hopkins, David, M.S.  Colorado State University. 2013: 93 pages; 1539638.
25.
Development and Evaluation of Low Cost 2-D LiDAR Based Traffic Data Collection Methods
by Jagirdar, Ravi, Ph.D.  New Jersey Institute of Technology. 2020: 133 pages; 27740531.
26.
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.
27.
Strategic targeting of outliers for expert review
by Rebbapragada, Umaa Devi, Ph.D.  Tufts University. 2010: 176 pages; 3422362.
28.
Unsupervised linguistic inference
by Lamar, Michael T., Ph.D.  Brown University. 2010: 165 pages; 3430192.
29.
Benchmarks for Evaluating Anomaly-Based Intrusion Detection Solutions
by Miller, Nicholas J., M.S.  California State University, Long Beach. 2018: 30 pages; 10752128.
30.
Optimal supply chain configuration for the additive manufacturing of biomedical implants
by Emelogu, Adindu Ahurueze, Ph.D.  Mississippi State University. 2016: 221 pages; 10244178.
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