{"title":"Histogram-Based Clustering of Sensor Network Data","authors":"Antonio Balzanella, R. Verde","doi":"10.1002/9781119597568.CH2","DOIUrl":"https://doi.org/10.1002/9781119597568.CH2","url":null,"abstract":"","PeriodicalId":320617,"journal":{"name":"Data Analysis and Applications 1","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117014332","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}
{"title":"Grouping Property and Decomposition of Explained Variance in Linear Regression","authors":"H. Wallard","doi":"10.1002/9781119597568.CH5","DOIUrl":"https://doi.org/10.1002/9781119597568.CH5","url":null,"abstract":"","PeriodicalId":320617,"journal":{"name":"Data Analysis and Applications 1","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131441803","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}
{"title":"Cluster Validation by Measurement of Clustering Characteristics Relevant to the User","authors":"C. Hennig","doi":"10.1002/9781119597568.CH1","DOIUrl":"https://doi.org/10.1002/9781119597568.CH1","url":null,"abstract":"There are many cluster analysis methods that can produce quite different clusterings on the same dataset. Cluster validation is about the evaluation of the quality of a clustering; \"relative cluster validation\" is about using such criteria to compare clusterings. This can be used to select one of a set of clusterings from different methods, or from the same method ran with different parameters such as different numbers of clusters. \u0000There are many cluster validation indexes in the literature. Most of them attempt to measure the overall quality of a clustering by a single number, but this can be inappropriate. There are various different characteristics of a clustering that can be relevant in practice, depending on the aim of clustering, such as low within-cluster distances and high between-cluster separation. \u0000In this paper, a number of validation criteria will be introduced that refer to different desirable characteristics of a clustering, and that characterise a clustering in a multidimensional way. In specific applications the user may be interested in some of these criteria rather than others. A focus of the paper is on methodology to standardise the different characteristics so that users can aggregate them in a suitable way specifying weights for the various criteria that are relevant in the clustering application at hand.","PeriodicalId":320617,"journal":{"name":"Data Analysis and Applications 1","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127061084","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}
{"title":"Displaying Empirical Distributions of Conditional Quantile Estimates: An Application of Symbolic Data Analysis to the Cost Allocation Problem in Agriculture","authors":"D. Desbois","doi":"10.1002/9781119597568.ch12","DOIUrl":"https://doi.org/10.1002/9781119597568.ch12","url":null,"abstract":"This paper introduces some symbolic data analysis tools in order to display and analyze the conditional quantile estimates, with an application to the cost allocation problem in agriculture. After recalling the conceptual framework of the estimation of agricultural production costs, the first part presents the empirical data model, the quantile regression approach and the symbolic data analysis techniques used. The second part presents the comparative analysis of the econometric results for wheat between member states, using principal component analysis and hierarchic clustering of estimates and range of estimation intervals, discussing the relevance of the displays obtained for inter-country comparisons based on specific productivity.","PeriodicalId":320617,"journal":{"name":"Data Analysis and Applications 1","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115020650","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}
{"title":"The Flexible Beta Regression Model","authors":"S. Migliorati, A. D. Brisco, A. Ongaro","doi":"10.1002/9781119597568.ch3","DOIUrl":"https://doi.org/10.1002/9781119597568.ch3","url":null,"abstract":"","PeriodicalId":320617,"journal":{"name":"Data Analysis and Applications 1","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116042510","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}
Benard Abola, P. Biganda, Christopher Engström, S. Silvestrov
{"title":"Evaluation of Stopping Criteria for Ranks in Solving Linear Systems","authors":"Benard Abola, P. Biganda, Christopher Engström, S. Silvestrov","doi":"10.1002/9781119597568.CH10","DOIUrl":"https://doi.org/10.1002/9781119597568.CH10","url":null,"abstract":"Bioinformatics, internet search engines (web pages) and social networks are some of the examples with large and high sparsity matrices. For some of these systems, only the actual ranks of the solut ...","PeriodicalId":320617,"journal":{"name":"Data Analysis and Applications 1","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130903786","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}