Applications of Principal Component Analysis to Horticultural Research

Geometric Applications of Principal Component Analysis

Bounding boxes are used in many applications for simplification of point sets or complex shapes. For example, in computer graphics, bounding boxes are used to maintain hierarchical data structures for fast rendering of a scene or for collision detection. Additional applications include those in shape analysis and shape simplification, or in statistics, for storing and performing range-search qu...

Differentiating Internet Applications Using Principal Component Analysis

The number and variety of IP applications had a tremendous increase in the last few years. Besides, Internet applications of end users are changing with the wide spread of high performance PCs connected through broadband links. An accurate mapping of traffic to applications is important for a wide range of network management tasks, like traffic engineering, service differentiation, performance/...

Sparse Principal Component Analysis: Algorithms and Applications

Sparse Principal Component Analysis: Algorithms and Applications

Torus Principal Component Analysis with Applications to Rna Structure

Compression of Breast Cancer Images By Principal Component Analysis

The principle of dimensionality reduction with PCA is the representation of the dataset ‘X’in terms of eigenvectors ei ∈ RN  of its covariance matrix. The eigenvectors oriented in the direction with the maximum variance of X in RN carry the most      relevant information of X. These eigenvectors are called principal components [8]. Ass...