A Tutorial on Principal Component Analysis with the Accord.NET Framework

نویسنده

  • César Roberto de Souza
چکیده

This document aims to clarify frequent questions on using the Accord.NET Framework to perform statistical analyses. Here, we reproduce all steps of the famous Lindsay's Tutorial on Principal Component Analysis, in an attempt to give the reader a complete hands-on overview on the framework's basics while also discussing some of the results and sources of divergence between the results generated by Accord.NET and by other software packages.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An Empirical Comparison between Grade of Membership and Principal Component Analysis

t is the purpose of this paper to contribute to the discussion initiated byWachter about the parallelism between principal component (PC) and atypological grade of membership (GoM) analysis. The author testedempirically the close relationship between both analysis in a lowdimensional framework comprising up to nine dichotomous variables and twotypologies. Our contribution to the subject is also...

متن کامل

Development and Usability Evaluation of an Online Tutorial for “How to Write a Proposal” for Medical Sciences Students

Background and Objective: Considering the importance of learning how to write a proposal for students, this study was performed to develop an online tutorial for “How to write a Proposal” for students and to evaluate its usability. Methods: This study is a developmental research and tool design. “Gamified Online Tutorial based on Self-Determination Theory (GOT-STD) Framework" became the basis f...

متن کامل

Sparse Structured Principal Component Analysis and Model Learning for Classification and Quality Detection of Rice Grains

In scientific and commercial fields associated with modern agriculture, the categorization of different rice types and determination of its quality is very important. Various image processing algorithms are applied in recent years to detect different agricultural products. The problem of rice classification and quality detection in this paper is presented based on model learning concepts includ...

متن کامل

An application of principal component analysis and logistic regression to facilitate production scheduling decision support system: an automotive industry case

Production planning and control (PPC) systems have to deal with rising complexity and dynamics. The complexity of planning tasks is due to some existing multiple variables and dynamic factors derived from uncertainties surrounding the PPC. Although literatures on exact scheduling algorithms, simulation approaches, and heuristic methods are extensive in production planning, they seem to be ineff...

متن کامل

Feature reduction of hyperspectral images: Discriminant analysis and the first principal component

When the number of training samples is limited, feature reduction plays an important role in classification of hyperspectral images. In this paper, we propose a supervised feature extraction method based on discriminant analysis (DA) which uses the first principal component (PC1) to weight the scatter matrices. The proposed method, called DA-PC1, copes with the small sample size problem and has...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • CoRR

دوره abs/1210.7463  شماره 

صفحات  -

تاریخ انتشار 2012