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Skip to Search Results- 3High-dimensional data
- 1D-Calibration
- 1Dimensionality Reduction
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- 1Fuzzy c-means clustering (FCM)
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Dimensionality Reduction via the Johnson and Lindenstrauss Lemma: Mathematical and Computational Improvements
DownloadFall 2016
In an increasingly data-driven society, there is a growing need to simplify high-dimensional data sets. Over the course of the past three decades, the Johnson and Lindenstrauss (JL) lemma has evolved from a highly abstract mathematical result into a useful tool for dealing with data sets of...
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Fall 2021
Fuzzy Rule-based Systems (FRBS) form a commonly encountered category of fuzzy models and play an essential role by developing a human-centric modeling framework. Fuzzy rule-based modeling aims at identifying the structure and the parameters of “if-then” fuzzy rules so that a desired input/output...
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Spring 2017
Survival prediction is becoming a crucial part of treatment planning for most terminally ill patients. Many believe that genomic data will enable us to better estimate survival of these patients, which will lead to better, more personalized treatment options and patient care. As standard...