Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 777 for “"Cluster analysis"”.
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Cluster analysis
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mathematics, 1953.
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A cluster analysis method for materials selection
… developed utilizes a group technology code and cluster analysis method for the selection. The first phase is of go/no go nature, and utilizes the possible service environment requirements of ferromagnetism and chemical corrosion resistance to eliminate materials from candidacy. In the second …
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Customer Portfolio Cluster Analysis in a Community Bank
<p>By exploring a cluster analysis, a company can segment their customers to create more effective marketing strategies. They can also design products to fit each segment of customers. Cluster analysis involves placing similar objects into groups. In this project, a cluster analysis was completed …
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Cluster Analysis for Cognitive Diagnosis: Theory and Applications
… item response functions are derived and fitted. Cluster analysis provides an alternative approach that does not require specifying an item response model, but does require an item-by-attribute matrix. After summarizing the data with a particular vector of sum-scores, K-means cluster analysis or …
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Autonomic Differentiation of Emotions: A Cluster Analysis Approach
… of emotion was found via pattern classification analysis replicating findings from previous research. It was theorized that groups of individuals could be identified based upon individual response specificity using cluster analytic techniques. Single cluster solutions for all emotion conditions …
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Cluster Analysis: Algorithms, Hazards and Small Area Relative Survival
… research that has demonstrated the use of clustering algorithms in the analysis of datasets routinely collected by cancer registries. This involved a review of existing algorithms and their application in studies of spatial and temporal variations in cancer rates. As a result of continuing …
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A study of cluster analysis techniques and their applications
… the development of an inexpensive and efficient clustering technique for multivariate data analysis. The technique starts from a multivariate data matrix and ends with graphical representation of the data and pattern recognition discriminant function. The technique also results in distances …
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A Provenance Study Using Neutron Activation and Cluster Analysis
Made available in DSpace on 2017-07-06T18:55:05Z (GMT). No. of bitstreams: 2 Lee_Paul_H_MS.pdf: 47283083 bytes, checksum: df2ee030a1b60777c74bd5ccefb55308 (MD5) license.txt: 4813 bytes, checksum: 715c4321821a960fa1a1e91d2ac7ebce (MD5) Previous issue date: 1988
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Selecting predicates for conditional invariant detection using cluster analysis
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.
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Cluster Analysis in High Dimensions: Robustness, Privacy, and Beyond
Cluster analysis focuses on understanding the cluster structure of data, and is perhaps one of the most important subfields in high-dimensional data analysis. Traditionally, cluster analysis focuses on partitioning data into closely related groups, such as in k-means clustering and learning mixture …
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Cluster analysis of MMPI-A profiles in court-involved youth
… by exploring the subgroups that emerge using cluster analysis of Court Involved Youth (CIY), referred by the Juvenile Justice System (JJS) and Child Welfare System (CWS), using the Minnesota Multiphasic Personality Inventory-Adolescent (MMPI-A. This study utilized archival data from an …
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Verbal fluency performance after traumatic brain injury: a cluster analysis.
… (TBI) and healthy controls. The study uses a cluster analysis based on Troyer, Moscovitch, and Winocur (1997) of switching and clustering for the first time in a TBI-only sample. The sensitivity of number of correct words produced, a standard measure of verbal fluency performance, is also …
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Model-based Cluster Analysis Using Variables Characterizing Types of Democracy
<p> This thesis applies model-based cluster analysis to data concerning types of democracies, creating an instrument for typologies which attempt conceptual classification based on an explicit theory. We note several advantages of model-based clustering over traditional clustering methods, …
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Investigating Selection Criteria of Constrained Cluster Analysis: Applications in Forestry
… variability is a perquisite to more effective analysis and statistical testing. In this study, current techniques of partial redundancy analysis and constrained cluster analysis are used to explore how spatial variables determine structure in a managed regular spaced plantation. We will test …
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Resilience Profile Among People with Spinal Cord Injury: A Cluster Analysis
… to discharge. Using SPSS 19.0, a hierarchical cluster analysis was performed to preliminarily explore optimal patterns of resilience based on the psychosocial evaluations. Further a two-step cluster was used as a post hoc test of cluster quality and predictor importance. ANOVA and chi-squared …
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Subtyping patients with Senile Dementia of the Alzheimer type using cluster analysis
… Behavior Rating Scale (CBRS). Ward's method of cluster analysis was used to group 104 patients with a probable diagnosis of SDAT into subtypes.The following three clusters were identified: (a) Moderately Impaired, (b) Severely Impaired, and (c) Emotionally Intact which displayed differences in …
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Multivariate Outlier Mining Using Cluster Analysis: Case Study - National Health Interview Survey
… may exert undue influence on outcomes of the analysis. In most cases, it is a big challenge to reveal the pattern of the outliers and the "outlyingness". There are several approaches and methods to detect anomalous data points in data. But no single method is perfect for every data set …
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An evaluation of cluster analysis and related multivariate techniques for operational research
… work. is an investigation into methods of Cluster Analysis and Ordination. The main objective of this thesis has been to investigate the capabilities of these methods for practical usage. An important subsidiary aim has been to collect together related work which has been carried out in …
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Cluster analysis of soybean pathogen-responsive genes and functional characterization in Arabidopsis
… across multiple disease reactions. Hierarchical clustering of soybean gene expression in response to pathogens including S. sclerotiorum, F. virguliforme, and Pseudomonas syringae, as well as soybean response to various non-pathogenic treatments, allowed for the identification of 11 candidate …
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