Results 11 to 20 of about 538,598 (303)

Discriminant analysis of spatial-temporal data

Lietuvos Matematikos Rinkinys, 2002
There is not abstract.
Jūratė Šaltytė-Benth, Kęstutis Dučinskas   +1 more
doaj   +3 more sources

Discriminant analysis involving count data [PDF]

Songklanakarin Journal of Science and Technology (SJST), 2023
A situation giving rise to a violation of the normality assumption in discriminant analysis is that which involves count observations. For a two-variable case involving count observations, this paper presents a new discriminant analysis approach when ...
George Chinanu Mbaeyi, Chijioke Joel Nweke   +1 more
doaj  

Discriminative cluster analysis [PDF]

Proceedings of the 23rd international conference on Machine learning - ICML '06, 2006
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of programming and because it accomplishes a good trade-off between achieved performance and computational complexity.
Torre, Fernando De la, Kanade, Takeo
openaire   +2 more sources

Reversible Discriminant Analysis

IEEE Access, 2018
Principal component analysis (PCA) and linear discriminant analysis (LDA) have been extended to be a group of classical methods in dimensionality reduction for unsupervised and supervised learning, respectively.
Lan Bai, Zhen Wang, Yuan-Hai Shao, Chun-Na Li   +3 more
doaj   +1 more source

Sugarcane yield forecast using weather based discriminant analysis

Smart Agricultural Technology, 2023
Discriminant function analysis has been used for forecasting of Sugarcane yield of Coimbatore district in Tamilnadu. Crop yield has been classified into two and three groups.
S R Krishan Priya, R Keerti Balambiga, Pradeep Mishra, Soumitra Sankar Das   +3 more
doaj   +1 more source

Sparse multinomial kernel discriminant analysis (sMKDA) [PDF]

, 2009
Dimensionality reduction via canonical variate analysis (CVA) is important for pattern recognition and has been extended variously to permit more flexibility, e.g. by "kernelizing" the formulation.
Abe, Baudat, Billings, Bo, Cawley, Cawley, Centeno, Chen, Chen, Chen, Chen, Crownover, Duda, Gonzalez-Abril, Hastie, Hastie, Hastie, Hong, Hsu, Kitsuchart Pasupa, Krishnapuram, Li, Liang, Liang, Lu, Mayoraz, Mika, Rifkin, Robert F. Harrison, Schölkopf, Shawe-Taylor, Similä, Suykens, Tipping, Van Gestel, Weston, Xu, Xu, Xu, Yu, Zheng   +40 more
core   +1 more source

Discriminant Incoherent Component Analysis [PDF]

IEEE Transactions on Image Processing, 2016
Face images convey rich information which can be perceived as a superposition of low-complexity components associated with attributes, such as facial identity, expressions, and activation of facial action units (AUs). For instance, low-rank components characterizing neutral facial images are associated with identity, while sparse components capturing ...
Georgakis, C, Panagakis, Y, Pantic, M
openaire   +5 more sources

Dynamic Linear Discriminant Analysis in High Dimensional Space [PDF]

, 2019
High-dimensional data that evolve dynamically feature predominantly in the modern data era. As a partial response to this, recent years have seen increasing emphasis to address the dimensionality challenge.
Chen, Ziqi, Jiang, Binyan, Leng, Chenlei
core   +2 more sources

Discriminant analysis of multivariate spatial regressions

Lietuvos Matematikos Rinkinys, 2001
There is not abstract.
Kęstutis Dučinskas, Jūratė Šaltytė
doaj   +3 more sources

Penalized Discriminant Analysis

The Annals of Statistics, 1995
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hastie, Trevor, Buja, Andreas, Tibshirani, Robert   +2 more
openaire   +2 more sources