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Matching pursuit在Projection pursuit - Wikipedia的討論與評價
Projection pursuit (PP) is a type of statistical technique which involves finding the most "interesting" possible projections in multidimensional data.
Matching pursuit在Projection Pursuit - jstor的討論與評價
由 PJ Huber 著作 · 1985 · 被引用 2729 次 — Projection pursuit is concerned with "interesting" projections of high dimensional data sets, with finding such projections by machine, and with.
Matching pursuit在Projection Pursuit - Project Euclid的討論與評價
Projection pursuit is concerned with "interesting" projections of high dimensional data sets, with finding such projections by machine, and with using them ...
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Matching pursuit在projection-pursuit - PyPI的討論與評價
pip install projection-pursuit. or $ python setup.py install. If the installation is successful, you should be able to execute the following in Python:
Matching pursuit在projection pursuit method - 投影尋蹤法 - 國家教育研究院雙語詞彙的討論與評價
以projection pursuit method 進行詞彙精確檢索結果. 出處/學術領域, 英文詞彙, 中文詞彙. 學術名詞 數學名詞, projection pursuit method, 投影尋蹤法. 學術名詞
Matching pursuit在Projection pursuit in high dimensions - PNAS的討論與評價
Projection pursuit is a classical exploratory data analysis method to detect interesting low-dimensional structures in multivariate data. Originally, projection ...
Matching pursuit在What is Projection Pursuit? - Royal Statistical Society的討論與評價
Friedman and Tukey (1974) introduced the ierm "projection pursuit" for a technique for the exploratory analysis of multivariaie data sets; the method seeks ...
Matching pursuit在POWER ANALYSIS OF PROJECTION-PURSUIT ...的討論與評價
PROJECTION -PURSUIT INDEPENDENCE TESTS. Kai Xu1 and Liping Zhu2,3. 1Anhui Normal University, 2Renmin University of China and 3Zhejiang Gongshang University.
Matching pursuit在18.2 Projection Pursuit的討論與評價
The aim of projection pursuit is to reveal possible nonlinear and therefore interesting structures hidden in the high-dimensional data. To what extent these ...
Matching pursuit在projection-pursuit.pdf的討論與評價
The basic idea of projection Pursuit, suggested by. Kruskal [15] and first implemented by Friedman and. Tukey [10], is to define a projection index I(u, v).