principal component analysis

Advances in Principal Component Analysis Research and Development【電子書籍】Principal Component Analysis Networks and Algorithms【電子書籍】 Xiangyu Kong【中古】【輸入品 未使用】Advances in Principal Component Analysis: Research and DevelopmentNonlinear Principal Component Analysis and Its Applications【電子書籍】 Yuichi Mori洋書 Paperback, Principal Components Analysis (Qutative Applications in the Social Sciences)Generalized Principal Component Analysis【電子書籍】 Ren VidalPrincipal Component Analysis and Randomness Test for Big Data Analysis Practical Applications of RMT-Based Technique【電子書籍】 Mieko Tanaka-YamawakiPrincipal Components Analysis A Complete Guide - 2020 Edition【電子書籍】 Gerardus BlokdykRankings and Preferences New Results in Weighted Correlation and Weighted Principal Component Analysis with Applications【電子書籍】 Joaquim Pinto da CostaAsia Small and Medium-Sized Enterprise Monitor 2021 Volume IV Pilot SME Development Index: Applying Probabilistic Principal Component Analysis【電子書籍】 Asian Development BankPrincipal Component Analysis A Complete Guide - 2020 Edition【電子書籍】 Gerardus BlokdykA Practical Example Comparing Principal Component Analysis and Principal Axis Factoring as Methods for the Identification of Latent Constructs【電子書籍】 Holger Bodenm ller【中古】【未使用 未開封品】Principal Component Analysis (Springer Series in Statistics)洋書 Paperback, Principal Component Analysis Networks and Algorithms
 

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  • <p>This book reports on the latest advances in concepts and further developments of principal component analysis (PCA), addressing a number of open problems related to dimensional reduction techniques and their extensions in detail. Bringing together research results previously scattered throughout many scientific journals papers worldwide, the book presents them in a methodologically unified form. Offering vital insights into the subject matter in self-contained chapters that balance the theory and concrete applications, and especially focusing on open problems, it is essential reading for all researchers and practitioners with an interest in PCA.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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  • <p>This book not only provides a comprehensive introduction to neural-based PCA methods in control science, but also presents many novel PCA algorithms and their extensions and generalizations, e.g., dual purpose, coupled PCA, GED, neural based SVD algorithms, etc. It also discusses in detail various analysis methods for the convergence, stabilizing, self-stabilizing property of algorithms, and introduces the deterministic discrete-time systems method to analyze the convergence of PCA/MCA algorithms. Readers should be familiar with numerical analysis and the fundamentals of statistics, such as the basics of least squares and stochastic algorithms. Although it focuses on neural networks, the book only presents their learning law, which is simply an iterative algorithm. Therefore, no <em>a priori</em> knowledge of neural networks is required. This book will be of interest and serve as a reference source to researchers and students in applied mathematics, statistics, engineering,...
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  • 【中古】【輸入品・未使用】Advances in Principal Component Analysis: Research and Development【メーカー名】Springer【メーカー型番】【ブランド名】Springer【商品説明】Advances in Principal Component Analysis: Research and Development当店では初期不良に限り、商品到着から7日間は返品を 受付けております。こちらは海外販売用に買取り致しました未使用品です。買取り致しました為、中古扱いとしております。他モールとの併売品の為、完売の際はご連絡致しますのでご了承下さい。速やかにご返金させて頂きます。ご注文からお届けまで1、ご注文⇒ご注文は24時間受け付けております。2、注文確認⇒ご注文後、当店から注文確認メールを送信します。3、配送⇒当店海外倉庫から取り寄せの場合は10〜30日程度でのお届けとなります。国内到着後、発送の際に通知にてご連絡致します。国内倉庫からの場合は3〜7日でのお届けとなります。 ※離島、北海道、九州、沖縄は遅れる場合がございます。予めご了承下さい。お電話でのお問合せは少人数で運営の為受け付けておりませんので、メールにてお問合せお願い致します。営業時間 月〜金 10:00〜17:00お客様都合によるご注文...
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  • <p>This book expounds the principle and related applications of nonlinear principal component analysis (PCA), which is useful method to analyze mixed measurement levels data.</p> <p>In the part dealing with the principle, after a brief introduction of ordinary PCA, a PCA for categorical data (nominal and ordinal) is introduced as nonlinear PCA, in which an optimal scaling technique is used to quantify the categorical variables. The alternating least squares (ALS) is the main algorithm in the method. Multiple correspondence analysis (MCA), a special case of nonlinear PCA, is also introduced. All formulations in these methods are integrated in the same manner as matrix operations. Because any measurement levels data can be treated consistently as numerical data and ALS is a very powerful tool for estimations, the methods can be utilized in a variety of fields such as biometrics, econometrics, psychometrics, and sociology.</p> <p>In the applications part of the book, four app...
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  • *** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 ・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。 ・お名前またはご住所が法人・団体名義(XX株式会社等)、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。 ・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。 ・当店でご購入された商品は、原則として、「個...
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  • <p>This book provides a comprehensive introduction to the latest advances in the mathematical theory and computational tools for modeling high-dimensional data drawn from one or multiple low-dimensional subspaces (or manifolds) and potentially corrupted by noise, gross errors, or outliers. This challenging task requires the development of new algebraic, geometric, statistical, and computational methods for efficient and robust estimation and segmentation of one or multiple subspaces. The book also presents interesting real-world applications of these new methods in image processing, image and video segmentation, face recognition and clustering, and hybrid system identification etc.</p> <p>This book is intended to serve as a textbook for graduate students and beginning researchers in data science, machine learning, computer vision, image and signal processing, and systems theory. It contains ample illustrations, examples, and exercises and is made largely self-contained with th...
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  • <p>This book presents the novel approach of analyzing large-sized rectangular-shaped numerical data (so-called big data). The essence of this approach is to grasp the "meaning" of the data instantly, without getting into the details of individual data. Unlike conventional approaches of principal component analysis, randomness tests, and visualization methods, the authors' approach has the benefits of universality and simplicity of data analysis, regardless of data types, structures, or specific field of science.</p> <p>First, mathematical preparation is described. The RMT-PCA and the RMT-test utilize the cross-correlation matrix of time series, <em>C</em> = <em>XXT</em>, where <em>X</em> represents a rectangular matrix of <em>N</em> rows and <em>L</em> columns and <em>XT</em> represents the transverse matrix of <em>X</em>. Because <em>C</em> is symmetric, namely, <em>C</em> = <em>CT</em>, it can be converted to a diagonal matrix of eigen...
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  • <p>How will effects be measured? How can risk management be tied procedurally to process elements? How do you quantify and qualify impacts? What role does communication play in the success or failure of a Principal components analysis project? Which functions and people interact with the supplier and or customer?</p> <p>Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role… In EVERY group, company, organization and department.</p> <p>Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?'</p> <p>This Self-Assessment empowers peop...
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  • <p>This book examines in detail the correlation, more precisely the weighted correlation and applications involving rankings. A general application is the evaluation of methods to predict rankings. Others involve rankings representing human preferences to infer user preferences; the use of weighted correlation with microarray data and those in the domain of time series. In this book we present new weighted correlation coefficients and new methods of weighted principal component analysis.</p> <p>We also introduce new methods of dimension reduction and clustering for time series data and describe some theoretical results on the weighted correlation coefficients in separate sections.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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  • <p>The Asia Small and Medium-Sized Enterprise Monitor (ASM) is a knowledge-sharing product developed as a key resource for micro, small, and medium-sized enterprise (MSME) development policies in Asia and the Pacific. The ASM 2021 Volume IV reports on a technical exercise for developing an empirically rigorous index that measures various dimensions affecting MSME development in developing Asia.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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  • <p>For your Principal component analysis project, identify and describe the business environment, is there more than one layer to the business environment? Which Principal component analysis goals are the most important? What is your Principal component analysis quality cost segregation study? Is Principal component analysis dependent on the successful delivery of a current project? How can the phases of Principal component analysis development be identified?</p> <p>This astounding Principal Component Analysis self-assessment will make you the reliable Principal Component Analysis domain master by revealing just what you need to know to be fluent and ready for any Principal Component Analysis challenge.</p> <p>How do I reduce the effort in the Principal Component Analysis work to be done to get problems solved? How can I ensure that plans of action include every Principal Component Analysis task and that every Principal Component Analysis outcome is in place? How will I sa...
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  • <p>Seminar paper from the year 2011 in the subject Economics - Statistics and Methods, grade: 1,0, University of applied sciences, Munich, course: Research Methods, language: English, abstract: In this paper the historical and theoretical background of the factor analysis is briefly explained. Principal Component Analysis (PCA) and Principal Axis Factoring (PAF) are applied to a data set which has been generated in the scope of the evaluation of the implementation of Company X's corporate Strategy XX. The results clearly indicate that structural parts of the data collection instrument could be reproduced by the empirical data. The primary factors resulting from an orthogonal respectively oblique rotation are comparable but also show slight differences. Latent constructs like 'Trust', 'Job Satisfaction' 'Disengagement' and 'Pessimism' are indicated by the results. Secondary factors indicate a negative relationship between disengagement and leadership respectively transparency conce...
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  • 【中古】【未使用・未開封品】Principal Component Analysis (Springer Series in Statistics)【メーカー名】【メーカー型番】【ブランド名】Springer Applied, Probability & Statistics, Paperback Store, Print on Demand, Amazon Student ポイント還元(洋書), Search Inside The Book, Amazonアプリキャンペーン対象商品(洋書), 洋書(アダルト除く) Jolliffe, I.T.: Author【商品説明】Principal Component Analysis (Springer Series in Statistics)【注意】こちらは輸入品となります。当店では初期不良に限り、商品到着から7日間は返品を 受付けております。こちらは当店海外ショップで一般の方から買取した未使用・未開封品です。買取した為、中古扱いとしております。他モールとの併売品の為、完売の際はご連絡致しますのでご了承ください。ご注文からお届けまで1、ご注文⇒ご注文は24時間受け付けております。2、注文確認⇒ご注文後、当店から注文確認メールを送信します。3、当店海外倉庫から当店日本倉庫を経由しお届けしますので10〜30営業日程度でのお届けとなります。4、入金確認⇒前払い決済をご選択の場合、ご入金確認後、配送手配を致します。5、出荷⇒配送...
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  • *** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 ・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。 ・お名前またはご住所が法人・団体名義(XX株式会社等)、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。 ・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。 ・当店でご購入された商品は、原則として、「個...
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