Multivariate classification

Ebook "Chemometrics with R: Multivariate data analysis in the natural sciences and life sciences" offers readers an accessible introduction to the world of multivariate statistics in the life sciences, providing a comprehensive description of the general data analysis paradigm, from exploratory analysis (principal component analysis, self-organizing maps and clustering) to modeling (classification, regression) and validation (including variable selection).

289p tachieuhoa 28-01-2024 4 2   Download

Ebook Statistical Methods in the Atmospheric Sciences (Second Edition): Part 2 presents the following content: Matrix algebra and random matrices, the multivariate normal (MVN) distribution, principal component (EOF) analysis, canonical correlation analysis (CCA), discrimination and classification, cluster analysis, example data sets, probability tables.

230p runordie4 05-07-2022 8 3   Download

The complete University of East Anglia repository, obtaining highly interpretable results capable of explaining the relationships between the features that compose the time series and achieving performance results statistically indistinguishable from the best algorithms of the state-of-the-art.

19p guernsey 28-12-2021 11 1   Download

In this work, a new algorithm is proposed to predict both univariate and multivariate time series based on a combination of clustering, classification and forecasting techniques. The main goal of the proposed algorithm is first to group windows of time series values with similar patterns by applying a clustering process.

17p guernsey 28-12-2021 7 0   Download

Discriminant function is a multivariate technique for studying the extent to which different groups diverge from one another. The aim of this study was to identify the factors discriminating between ‘clinical and subclinical mastitis, ‘clinical and chronic mastitis’ and ‘subclinical and chronic mastitis’ using linear discriminant function analysis.

6p caygaocaolon11 21-04-2021 11 1   Download

In this paper, we firstly state the secure three-vector product computation problem and develop protocols called tree-vector products to solve this problem. Our protocols are developed based on some basic protocols and their security properties is validated base on the composition theorem for the semi-honest model [9]. We then use the proposed protocols to address a focus problem of privacy preserving multivariate classification.

9p tamynhan8 04-11-2020 10 1   Download

Helitron is a rolling-circle DNA transposon; it plays an important role in plant evolution. However, Helitron distribution and contribution to evolution at the family level have not been previously investigated.

20p vijisoo2711 27-10-2020 9 0   Download

Carob samples from seven different Mediterranean countries (Cyprus, Greece, Italy, Spain, Turkey, Jordan and Palestine) were analyzed using Fourier Transform Infrared (FTIR) spectroscopy. Seed and flesh samples of indigenous and foreign cultivars, both authentic and commercial, were examined. The spectra were recorded in transmittance mode from KBr pellets.

8p trinhthamhodang1 14-11-2019 20 1   Download

Honey is a natural, sweet, and syrupy fluid which has been used in Vietnam in a variety of ways; as a food supplement, beauty product, and natural drug. However, quality control and characterization of honey are blind problems. Consumers, and even market management committees, must believe in the producer’s quality standards without using any special techniques to evaluate the botanical origins of honey in the Vietnamese market. The chemical composition and physical properties of natural honey vary per plant species of which the honey bees scrounged.

8p caygaocaolon1 13-11-2019 16 0   Download

This study aimed to provide an assessment of coastal sand dune vegetation through a number of analyses meant to provide a better understanding of the structure of plant communities and the successional stages of coastal sand dunes in a human-induced coastal landscape, the Seyhan Delta in southern Turkey.

15p vibasque27 27-03-2019 20 1   Download

Many problems in statistical estimation, classification, and regression can be cast as optimization problems. Gradient descent, which is one of the simplest and easy to implement multivariate optimization techniques, lies at the heart of many powerful classes of optimization methods.

12p danhdanh27 07-01-2019 19 1   Download

(bq) part 2 book "applied multivariate statistical analysis" has contents: multivariate linear regression models, principal components, factor analysis and inference for structured covariance matrices; canonical correlation analysis; discrimination and classification; clustering, distance methods, and ordination.

414p bautroibinhyen20 06-03-2017 71 5   Download

This lecture introduces you to the fascinating subject of classification and regression with artificial neural networks. In particular, it introduces multi-layer perceptrons (MLPs); teaches you how to combine probability with neural networks so that the nets can be applied to regression, binary classification and multivariate classification; discusses the modular approach to backpropagation and neural network construction in Torch, which was introduced in the previous lecture.

20p allbymyself_08 22-02-2016 54 6   Download

In this paper, we develop a methodology for discovering the thematic structure of the Qur’an based on a fundamental idea in data mining and related disciplines: that, with respect to some collection of texts, the lexical frequency profiles of the individual texts are a good indicator of their conceptual content, and thus provide a reliable criterion for their classification relative to one another.

6p bunbo_1 17-04-2013 45 3   Download

ost of the problems of analyzing survey data have been reasonably well handled, except those revolving around the existence of interaction effects. Indeed, increased efficiency in handling multivariate analyses even with non-numerical variables, has been achieved largely by assuming additivity. An approach to survey data is proposed which imposes no restrictions on interaction effects, focuses on importance in reducing predictive error, operates sequentially, and is independent of the extent of linearity in the classifications or the order in which the explanatory factors are introduced...

380p socolanong 19-04-2012 138 45   Download

Schröder Environmental Sciences Europe 2011, 23:20 http://www.enveurope.

6p dauphong13 10-02-2012 51 6   Download