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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.
Weighted clustering ensembles
by Al-Razgan, Muna Saleh, Ph.D.  George Mason University. 2008: 146 pages; 3323309.
3.
Studies of spatial clustering of inertial particles in turbulence
by Saw, Ewe Wei, Ph.D.  Michigan Technological University. 2008: 164 pages; 3339459.
4.
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.
6.
Clustering and entity resolution for semi-structured data
by Zhao, Chuan, Ph.D.  Washington State University. 2011: 208 pages; 3495962.
9.
Application of Graph Theoretic Clustering on Some Biomedical Data Sets
by Ahlert, Darla, M.S.  Southern Illinois University at Edwardsville. 2015: 59 pages; 1588658.
11.
Stochastic Data Clustering
by Wessell, Charles David, Ph.D.  North Carolina State University. 2011: 102 pages; 3479609.
12.
Probabilistic Clustering Ensemble Evaluation for Intrusion Detection
by McElwee, Steven M., Ph.D.  Nova Southeastern University. 2018: 166 pages; 10844875.
13.
16.
Statistical methods for high-dimensional data analysis
by Gupta, Abhishek, Ph.D.  University of Pennsylvania. 2008: 96 pages; 3346226.
17.
The Semantic Network and Functional Compromise
by Litvin, Pavel Y., Ph.D.  Fielding Graduate University. 2018: 92 pages; 10686507.
18.
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.
19.
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.
20.
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.
21.
Feature Learning as a Tool to Identify Existence of Multiple Biological Patterns
by Patsekin, Aleksandr, M.S.  Purdue University. 2018: 69 pages; 10807747.
22.
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.
23.
Clustering, searching and evaluating biological sequence data
by Ghodsi, Mohammadreza, Ph.D.  University of Maryland, College Park. 2012: 104 pages; 3543455.
24.
Clustering datasets with singular value decomposition
by Douglas, Emmeline P., M.S.  College of Charleston. 2008: 85 pages; 1461189.
25.
Model Based Clustering Algorithms with Applications
by Wei, Wutao, Ph.D.  Purdue University. 2018: 124 pages; 10830711.
26.
Social Network Analysis Applied to Ontology 3D Visualization
by Yu, En, M.C.Sc.  Miami University. 2008: 157 pages; 10631476.
27.
Dynamic Gaussian Process Models for Model Predictive Control of Vehicle Roll
by Broderick, David J., Ph.D.  Auburn University. 2012: 121 pages; 3520452.
28.
Clustering digital ink content to assist with the grading of student work
by Hatfield, Jared, M.Eng.  University of Louisville. 2011: 65 pages; 1504211.
29.
A location fingerprint framework towards efficient wireless indoor positioning systems
by Swangmuang, Nattapong, Ph.D.  University of Pittsburgh. 2008: 146 pages; 3349244.
30.
Large-Scale, Hybrid Approaches for Recommending Web Pages Based on Content and User's Previous Click Patterns
by Sharif, Mohammad Amir, Ph.D.  University of Louisiana at Lafayette. 2015: 108 pages; 10002452.
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