Comparison of clustering algorithms in a single user environment.

Download
029931.pdf
1993
Koç, Kadir
Show full item record
114
views
0
downloads
https://hdl.handle.net/11511/11394
Graduate School of Natural and Applied Sciences, Thesis

Suggestions

Comparison of cost performance for three aggregate production planning models in a manufacturing firm.
Tarakçioğlu, A Arif; Department of Operations Research (1981)
Comparison of machine learning algorithms on consumer credit classification
Koç, Oğuz; Kestel, A. Sevtap.; Department of Financial Mathematics (2019)
Like other prediction models, credit scoring is a tool used to evaluate the amount of risk associated with applicants or customers. Scoring models identify clients individually as good or bad applicants. They offer statistical odds or probabilities for prediction either the applicant will be default or not in the future. It is beneficial for banks and credit analysts to measure customers' non-payment risk by statistically tested algorithms in many aspects such as reduction in workload and evaluation time. A...
Comparison of compressed sensing based algorithms for sparse signal reconstruction
Çelik, Safa; ERKÜÇÜK, SERHAT; ÇIRPAN, HAKAN ALİ (2016-06-23)
Comparison of Intelligent Classification Techniques by Practicing a Specific Technology Audit
Berkol, A.; Kara, G.; Turk, A. (2016-09-08)
Technology audit activities arc carried out for assessment of firms' technological requirements, capacity or management capability. The aim of these assessments is to define the weaknesses of firms and develop actions in order to improve firms' technological capacity and/or technology management capability. Generally these activities are implemented with survey questionnaires. These questionnaires can be filled by managers of firms or can be implemented as an interview by independent experts. However, evalu...
Comparison of Cognitive Modeling and User Performance Analysis for Touch Screen Mobile Interface Design
Ocak, Nihan; Çağıltay, Kürşat (Informa UK Limited, 2016-12-23)
The aim of this study is to analyze and comparatively evaluate the usability of touch screen mobile applications through cognitive modeling and end-user usability testing methodologies. The study investigates the accuracy of the estimated results of a cognitive model produced for touch screen mobile phone interfaces. A mobile wallet application was chosen as the mobile software. The CogTool modeling tool was used as the cognitive modeling method. Eight tasks were determined and user tests were conducted in ...
Citation Formats
K. Koç, “Comparison of clustering algorithms in a single user environment.,” Middle East Technical University, 1993.
METU IIS - Integrated Information Service open@metu.edu.tr