✦ LIBER ✦

Classification of chromatographic data using multidimensional polynomials

✍ Scribed by M. E. Cohen; D. L. Hudson

Book ID: 112827079
Publisher: Springer
Year: 1987
Tongue: English
Weight: 310 KB
Volume: 24
Category: Article
ISSN: 0009-5893
DOI: 10.1007/bf02688605

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Feature reduction for classification of

Feature reduction for classification of multidimensional data

✍ H. Brunzell; J. Eriksson 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 204 KB

This paper addresses the problem of classifying multidimensional data with relatively few training samples available. Classi"cation is often performed based on data from measurements or ratings of objects or events. These data are called features. It is sometimes di$cult to determine if all features

Classification of reversed-phase materia

Classification of reversed-phase materials by means of selected chromatographic data

✍ T. Welsch; H. Frank; H. Zwanziger; S. Liebisch; W. Engewald 📂 Article 📅 1984 🏛 Springer 🌐 English ⚖ 633 KB

A Multidimensional Classification Approa

A Multidimensional Classification Approach for the Automated Analysis of Flow Cytometry Data

✍ Pedreira, C.E.; Costa, E.S.; Arroyo, M.E.; Almeida, J.; Orfao, A. 📂 Article 📅 2008 🏛 IEEE 🌐 English ⚖ 701 KB

Classification of dambos using remotely

Classification of dambos using remotely sensed data

✍ M. Lupankwa; J.B. Stewart; R.J. Owen 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 230 KB

Classification of arrayCGH data using fu

Classification of arrayCGH data using fused SVM

✍ Rapaport, F.; Barillot, E.; Vert, J.-P. 📂 Article 📅 2008 🏛 Oxford University Press 🌐 English ⚖ 492 KB

Simple Correspondence Analysis of Ordina

Simple Correspondence Analysis of Ordinal Cross-Classifications Using Orthogonal Polynomials

✍ Eric J. Beh 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 997 KB

## Abstract A method is developed that caters for the application of correspondence analysis to two‐way contingency tables with one and two ordered sets of categories. The method involves calculating orthogonal polynomials of the type described by EMERSON (1968), and partitioning the chi‐square sta