International Federation of Classification Societies最新文献

Football and the dark side of cluster analysis 足球和聚类分析的阴暗面

International Federation of Classification Societies Pub Date : 2015-05-18 DOI: 10.20347/WIAS.REPORT.29

C. Hennig, Serhat Emre Akhanli

{"title":"Football and the dark side of cluster analysis","authors":"C. Hennig, Serhat Emre Akhanli","doi":"10.20347/WIAS.REPORT.29","DOIUrl":"https://doi.org/10.20347/WIAS.REPORT.29","url":null,"abstract":"In cluster analysis, decisions on data preprocessing such as how to select, transform, and standardise variables and how to aggregate information from continuous, count and categorical variables cannot be made in a supervised manner, i.e., based on prediction of a response variable. Statisticians often attempt to make such decisions in an automated way by optimising certain objective functions of the data anyway, but this usually ignores the fact that in cluster analysis these decisions determine the meaning of the resulting clustering. We argue that the decisions should be made based on the aim and intended interpretation of the clustering and the meaning of the variables. The rationale is that preprocessing should be done in such a way that the resulting distances, as used by the clustering method, match as well as possible the \"interpretative distances\" between objects as determined by the meaning of the variables and objects. Such \"interpretative distances\" are usually not precisely specified and involve a certain amount of subjectivity. We will use ongoing work on clustering football players based on performance data to illustrate how such decisions can be made, how much of an impact they can have, how the data can still help with them and to highlight some issues with the approach.","PeriodicalId":330529,"journal":{"name":"International Federation of Classification Societies","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124555925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Functional data analysis for optimizing strategies of cash flow management 现金流管理优化策略的功能数据分析

International Federation of Classification Societies Pub Date : 2015-05-18 DOI: 10.1007/978-3-319-55723-6_17

F. Salvo, M. Chiodi, P. Patricola

引用次数: 0

Large Covariance Matrix Estimation by Composite Minimization 基于复合最小化的大协方差矩阵估计

International Federation of Classification Societies Pub Date : 2015-04-30 DOI: 10.6092/UNIBO/AMSDOTTORATO/7250

M. Farné

{"title":"Large Covariance Matrix Estimation by Composite Minimization","authors":"M. Farné","doi":"10.6092/UNIBO/AMSDOTTORATO/7250","DOIUrl":"https://doi.org/10.6092/UNIBO/AMSDOTTORATO/7250","url":null,"abstract":"A method to regularize large-dimensional covariance matrices under the assumption of approximate factor model will be presented. Existing methods perform estimation by recovering principal components and sparsifying the residual covariance matrix. In our setting this task is achieved recovering the low rank plus sparse decomposition by least squares minimization under nuclear norm plus $l_1$ norm penalization. In the literature, the best known algorithm to solve this problem is soft thresholding plus singular value thresholding and consistency of estimators is derived under specific assumptions on the eigenvalues of the low rank component matrix. In this paper consistency of the proposed estimator will be derived under the pervasive condition, providing the identification of low rank and sparse spaces by introducing the unshrinking of estimated eigenvalues. Algorithm derivation and convergence analysis are provided, and the new procedure is compared with the existing ones under the same assumptions. The performance of our minimizer is described in a wide simulation study, where various low rank plus sparse settings are simulated according to different parameter values.","PeriodicalId":330529,"journal":{"name":"International Federation of Classification Societies","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125291246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

IRT-based conjoint analysis in the optimization of banking products 基于红外光谱的银行产品优化联合分析

International Federation of Classification Societies Pub Date : 2015-04-28 DOI: 10.15611/EKT.2017.3.04

Justyna Brzezinska-Grabowska, Aneta Rybicka, A. Sagan

{"title":"IRT-based conjoint analysis in the optimization of banking products","authors":"Justyna Brzezinska-Grabowska, Aneta Rybicka, A. Sagan","doi":"10.15611/EKT.2017.3.04","DOIUrl":"https://doi.org/10.15611/EKT.2017.3.04","url":null,"abstract":"Conjoint measurement and analysis have common underlying psychometric and statistical assumption concerning axioms of additivity and two-way frame of reference in preference measurement. However, whereas the former concept is widely used in fundamental measurement of subject $times$ object dominance structures as in IRT and Rasch measurement models, the latter is utilized in a broad familiy of object $times$ object dominance structures in both compositional (i.e. Thurestone case III and V) as well as decompositional (classical conjoint experiments and BTL/alpha simulation) preference measurement models. These two traditions are rarely combined in one measurement model and research design that integrates subject $times$ object $times$ object measurement (Neubauer 2001). The aim of the paper is to adopt and compare three types of preference measurement models in the area of banking products in Poland:1/ paired-comparisons and rating scale conjoint experiment,2/ IRT-based conjoint (Rasch and Birnbaum politomous models) and 3/ compositional Thurstone III/V models (Bockenholt 2006). Part-worth utilities are used for product optimization and comparison across the estimated models.","PeriodicalId":330529,"journal":{"name":"International Federation of Classification Societies","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130854892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Correction for chance and correction for maximum value 机会校正和最大值校正

International Federation of Classification Societies Pub Date : 2013-12-01 DOI: 10.14355/JMMF.2013.0204.01

M. Warrens

引用次数: 5

Classification Methods in the Research on the Financial Standing of Construction Enterprises After Bankruptcy in Poland 波兰建筑企业破产后财务状况研究中的分类方法

International Federation of Classification Societies Pub Date : 1900-01-01 DOI: 10.1007/978-3-319-55723-6_3

B. Pawełek, K. Galuszka, Jadwiga Kostrzewska, M. Kostrzewski

引用次数: 6

Multi-Dimensional Scaling of Sparse Block Diagonal Similarity Matrix 稀疏块对角相似矩阵的多维缩放

International Federation of Classification Societies Pub Date : 1900-01-01 DOI: 10.1007/978-3-319-55723-6_20

T. Imaizumi

引用次数: 0

International Federation of Classification Societies Pub Date : 1900-01-01 DOI: 10.1007/978-3-319-55723-6_25

G. Schoier, P. D. Luca

引用次数: 2

Predicting the Evolution of a Constrained Network: A Beta Regression Model 预测约束网络的演化:一个Beta回归模型

International Federation of Classification Societies Pub Date : 1900-01-01 DOI: 10.1007/978-3-319-55723-6_26

L. Stracqualursi, P. Agati

引用次数: 0

Missing Data Imputation and Its Effect on the Accuracy of Classification 缺失数据的输入及其对分类准确率的影响

International Federation of Classification Societies Pub Date : 1900-01-01 DOI: 10.1007/978-3-319-55723-6_1

L. Hunt

引用次数: 20