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matlab例程 Set of functions that can be used for interpolation of scattered data of any dimensionality.
Set of functions that can be used for interpolation of scattered data of any dimensionality.
matlab例程 relevant dimensionality estimate toolbox
relevant dimensionality estimate toolbox
其他书籍 An Introduction to Dimensionality Reduction Using Matlab
An Introduction to Dimensionality Reduction Using Matlab
matlab例程 Dimensionality Reduction for Distributed Estimation in the Infinite Dimensional Regime
Dimensionality Reduction for Distributed Estimation in the Infinite Dimensional Regime
matlab例程 Description: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP.
Description: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP.
Reference: X. Geng, D.-C. Zhan, and Z.-H. Zhou. Supervised nonlinear dimensionality reduction for visualization and classification. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cyberneti ...
软件设计/软件工程 This paper studies the problem of categorical data clustering, especially for transactional data ch
This paper studies the problem of categorical data clustering,
especially for transactional data characterized by high
dimensionality and large volume. Starting from a heuristic method
of increasing the height-to-width ratio of the cluster histogram, we
develop a novel algorithm – CLOPE, which is v ...
其他行业 Feature selection is a preprocessing technique frequently used in data mining and machine learning t
Feature selection is a preprocessing technique frequently used in data mining and machine learning tasks. It can reduce dimensionality, remove irrelevant data, increase learning accuracy, and improve results comprehensibility. FCBF is a fast correlation-based filter algorithm designed for high-dimen ...
嵌入式/单片机编程 这是LLE的原始算法
这是LLE的原始算法，原文的参考文献是：S.T.Roweis and L.K.Saul. Nonlinear dimensionality reduction by locally linear embedding. Science,
290, 2000.
行业发展研究 This thesis presents a comprehensive overview of the problem of facial recognition. A survey of avai
This thesis presents a comprehensive overview of the problem of facial recognition. A survey of available facial detection algorithms as well as implementation and tests of di铿€erent feature extraction and dimensionality reduction methods and light normalization methods are presented.
论文 Dynamic+Channel+Acquisition
Multiuser multiple-input-multiple-output (MU-
MIMO) systems are known to be hindered by dimensionality
loss due to channel state information (CSI) acquisition overhead.
In this paper, we investigate user-scheduling in MU-MIMO
systems on account of CSI acquisition overhead, where a base
station dynam ...