Книга: Chibuike Nnamani,Shehu Usman Gulumbe and Davou Nyap Choji «Cluster Analysis Using Probability»

Cluster Analysis Using Probability

Производитель: "LAP Lambert Academic Publishing"

The book `Cluster Analysis with Probability: Theory and Practice` is one of the recent surveys in the area of Cluster Analysis. The authors exploited their practical involvement in the analysis of data sets on multivariate problems to develop a novel technique that can be easily used when faced with a large volume of data in which the understanding and management of the data becomes a herculean task as a result of a large number of variables involved. The mathematics of the techniques of cluster in use hitherto are generally simple but time consuming. This book explores and demystifies most of the existing techniques and provides a less time consuming alternative technique for practitioners of Cluster Analysis. The examples in this book were drawn from many fields of human endeavour in order to illustrate the power of the developed technique in all fields whenever many variables are involved. This book was brought to this standard by the interaction of the authors with the Lovers and... ISBN:9783659225086

Издательство: "LAP Lambert Academic Publishing" (2012)

ISBN: 9783659225086

Другие книги схожей тематики:

АвторКнигаОписаниеГодЦенаТип книги
Thomas LumleyComplex Surveys. A Guide to Analysis Using RA complete guide to carrying out complex survey analysis using R As survey analysis continues to serve as a core component of sociological research, researchers are increasingly relying upon data… — John Wiley&Sons Limited, электронная книга Подробнее...
7020.36электронная книга
Kung-Jong LuiBinary Data Analysis of Randomized Clinical Trials with NoncomplianceIt is quite common in a randomized clinical trial (RCT) to encounter patients who do not comply with their assigned treatment. Since noncompliance often occurs non-randomly, the commonly-used… — John Wiley&Sons Limited, электронная книга Подробнее...
9443.74электронная книга
Walter Piegorsch W.Statistical Data Analytics. Foundations for Data Mining, Informatics, and Knowledge DiscoveryA comprehensive introduction to statistical methods for data mining and knowledge discovery. Applications of data mining and‘big data’ increasingly take center stage in our modern… — John Wiley&Sons Limited, электронная книга Подробнее...
8879.91электронная книга

См. также в других словарях:

  • Analysis of variance — In statistics, analysis of variance (ANOVA) is a collection of statistical models, and their associated procedures, in which the observed variance in a particular variable is partitioned into components attributable to different sources of… …   Wikipedia

  • Cluster-weighted modeling — In statistics, cluster weighted modeling (CWM) is an algorithm based approach to non linear prediction of outputs (dependent variables) from inputs (independent variables) based on density estimation using a set of models (clusters) that are each …   Wikipedia

  • Probability distribution — This article is about probability distribution. For generalized functions in mathematical analysis, see Distribution (mathematics). For other uses, see Distribution (disambiguation). In probability theory, a probability mass, probability density …   Wikipedia

  • Principal component analysis — PCA of a multivariate Gaussian distribution centered at (1,3) with a standard deviation of 3 in roughly the (0.878, 0.478) direction and of 1 in the orthogonal direction. The vectors shown are the eigenvectors of the covariance matrix scaled by… …   Wikipedia

  • Principal components analysis — Principal component analysis (PCA) is a vector space transform often used to reduce multidimensional data sets to lower dimensions for analysis. Depending on the field of application, it is also named the discrete Karhunen Loève transform (KLT),… …   Wikipedia

  • Neighbourhood components analysis — is a supervised learning method for clustering multivariate data into distinct classes according to a given distance metric over the data. Functionally, it serves the same purposes as the K nearest neighbour algorithm, and makes direct use of a… …   Wikipedia

Поделиться ссылкой на выделенное

Прямая ссылка:
Нажмите правой клавишей мыши и выберите «Копировать ссылку»