Q
Qikun Jiang
Researcher at Shanghai University
Publications - 3
Citations - 54
Qikun Jiang is an academic researcher from Shanghai University. The author has contributed to research in topics: Rényi entropy & Dimensionality reduction. The author has an hindex of 3, co-authored 3 publications receiving 51 citations.
Papers
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Journal ArticleDOI
Sparse kernel entropy component analysis for dimensionality reduction of biomedical data
TL;DR: A sparse KECA (SKECA) algorithm based on a recursive divide-and-conquer (DC) method that outperforms conventional dimensionality reduction algorithms, even for high order dimensional features, suggests that SKECA is potentially applicable to biomedical data processing.
Journal ArticleDOI
FR-KECA: Fuzzy robust kernel entropy component analysis
TL;DR: The main idea of FR-KECA is to induce the fuzzy item to optimize the kernel entropy components in KECA, which makes the transformed data more robust, suggesting that the proposed FR- KECA algorithms have the potential to be applied to noise-corrupted high dimensional data.
Proceedings ArticleDOI
Sparse kernel entropy component analysis for dimensionality reduction of neuroimaging data.
Qikun Jiang,Jun Shi +1 more
TL;DR: A sparse KECA (SKECA) algorithm with the recursive divide-and-conquer based solution is proposed and applied to perform dimensionality reduction of neuroimaging data for classification of the Alzheimer's disease (AD).