標(biāo)題: Titlebook: Between Data Science and Applied Data Analysis; Proceedings of the 2 Martin Schader,Wolfgang Gaul,Maurizio Vichi Conference proceedings 200 [打印本頁] 作者: dentin 時間: 2025-3-21 17:34
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書目名稱Between Data Science and Applied Data Analysis讀者反饋
書目名稱Between Data Science and Applied Data Analysis讀者反饋學(xué)科排名
作者: fastness 時間: 2025-3-21 22:06 作者: frivolous 時間: 2025-3-22 01:03 作者: 扔掉掐死你 時間: 2025-3-22 07:46
Cluster- and Discriminant Analysis With Both Metric and Categorial Datapological properties of the subset of binary data of the introduced topological data model. The given example from internal medicine also contains variable selection..The computations are carried out in a SAS environment. The programs can be requested by the authors.作者: ARK 時間: 2025-3-22 08:43 作者: 類型 時間: 2025-3-22 16:20
https://doi.org/10.1007/978-3-030-38822-5 predictors is discussed. Specific attention is devoted to what is termed a ‘reversal’ when dealing with two binary (categorical) predictor variables. A proposal using biplot methodology is made for dealing with this problem.作者: 銀版照相 時間: 2025-3-22 19:28
Joana Hora,Teresa Galv?o,Ana Camanhoum, and the trees can be used for simplified representation and visualization of the observations. We compare the accuracy and speed of different approximations, apply the method to real-world data sets and compare its computational complexity to published algorithms.作者: 上下連貫 時間: 2025-3-22 22:43
Alexander V. Lagerev,Igor A. Lagerevlity clusters. We show how the scalability to large sizes is achieved using those advanced linear algebra techniques. These techniques also lead to an alternate representation of the dataset which is close enough to the original for the purposes of clustering while occupying a much smaller memory footprint.作者: FLAG 時間: 2025-3-23 02:05
https://doi.org/10.1007/978-3-319-14768-0LS proposed by (.) but used in the discrimination context. The second proposal, in the same framework, leads to consider the PLS Redundancy Analysis proposed by (.) by using suitable metrics. Some examples of data treatment are given.作者: 卜聞 時間: 2025-3-23 07:21 作者: 爭吵加 時間: 2025-3-23 13:39
Amit Kumar Tyagi,Niladhuri Sreenath. By using the general theory of ‘convexity-based clustering criteria’ (., ., .) we derive a k-means-like clustering algorithm that uses ‘maximum support-plane partitions’ (in terms of likelihood ratio vectors) in the same way as classical SSQ clustering uses ‘minimum-distance partitions’.作者: 變白 時間: 2025-3-23 16:09 作者: 使服水土 時間: 2025-3-23 21:01
Core-Based Clustering Techniques Then a more general . approach based on pair-wise distances is recommended. Simulation studies are carried out in order to compare the new clustering techniques with the well-known ones. Moreover, a successful application is presented. Here the task is to discover clusters with quite different number of observations in a high-dimensional space.作者: 道學(xué)氣 時間: 2025-3-23 22:54 作者: Nuance 時間: 2025-3-24 02:32
Discriminant Analysis With Categorical Variables: A Biplot Based Approach predictors is discussed. Specific attention is devoted to what is termed a ‘reversal’ when dealing with two binary (categorical) predictor variables. A proposal using biplot methodology is made for dealing with this problem.作者: 危機(jī) 時間: 2025-3-24 07:14
Efficient Density Clustering Using Basin Spanning Treesum, and the trees can be used for simplified representation and visualization of the observations. We compare the accuracy and speed of different approximations, apply the method to real-world data sets and compare its computational complexity to published algorithms.作者: 寬大 時間: 2025-3-24 12:42 作者: 貪婪地吃 時間: 2025-3-24 15:39
Two Approaches for Discriminant Partial Least SquaresLS proposed by (.) but used in the discrimination context. The second proposal, in the same framework, leads to consider the PLS Redundancy Analysis proposed by (.) by using suitable metrics. Some examples of data treatment are given.作者: Cerebrovascular 時間: 2025-3-24 21:40 作者: 擴(kuò)張 時間: 2025-3-25 01:37 作者: 開始發(fā)作 時間: 2025-3-25 06:21 作者: 狂怒 時間: 2025-3-25 11:11
Intelligent Transportation Systems this strategy allows not only to obtain a smooth nonparametric estimate of the regression surface, but also to automatically determine the model complexity and to perform a covariate selection. The performances of the proposed strategy are evaluated on simulated data sets.作者: Vulnerary 時間: 2025-3-25 12:27 作者: Genetics 時間: 2025-3-25 16:06
Methods to Combine Classification Treescted by means of cross-validation or bootstrap samples, or obtained from independent data sets having the same predictors and class variables. An example of application of the proposed procedure to a real data set is then illustrated and discussed.作者: 發(fā)出眩目光芒 時間: 2025-3-25 21:27 作者: 負(fù)擔(dān) 時間: 2025-3-26 01:10
Multivariate Mixture Models Estimation: A Genetic Algorithm Approachumber of mixture components is unknown is investigated and some estimation procedures are suggested. Real data examples and simulated data sets are used to illustrate the merits of the proposed procedure and for comparison purpose.作者: 收集 時間: 2025-3-26 05:55
Robust Classification Through the Forward Searcht on the classification of other units. We use plots of the Mahalanobis distances of the individual observations during the search to obtain our classification. Normality of the data is important, so we present a multivariate form of the Box-Cox family of transformations, of course combined with the forward search.作者: 職業(yè)拳擊手 時間: 2025-3-26 11:16
Some Issues on Clustering of Functional Datan a landmark description which takes into account the . of each function and suggest also a graph-like representation which can help in the classification process. The method is illustrated using a real data set based on precipitation records.作者: Prosaic 時間: 2025-3-26 14:56 作者: 來這真柔軟 時間: 2025-3-26 20:53 作者: Multiple 時間: 2025-3-27 00:38 作者: 胖人手藝好 時間: 2025-3-27 04:29 作者: 藝術(shù) 時間: 2025-3-27 08:12 作者: –LOUS 時間: 2025-3-27 13:01
Between Data Science and Applied Data Analysis978-3-642-18991-3Series ISSN 1431-8814 Series E-ISSN 2198-3321 作者: 明智的人 時間: 2025-3-27 14:49 作者: surrogate 時間: 2025-3-27 20:43 作者: extinguish 時間: 2025-3-27 23:32 作者: 松軟 時間: 2025-3-28 03:37
Wireless Technology for Vehicles,orms part of the analysis. In this paper we argue that variable selection and outlier identification should not be done sequentially, but should rather be integrated. We investigate an integrated approach, and compare its classification performance to that of a sequential approach in a limited simulation study.作者: Friction 時間: 2025-3-28 07:52
Sara Santos,Teresa Galv?o Dias,Thiago Sobralt on the classification of other units. We use plots of the Mahalanobis distances of the individual observations during the search to obtain our classification. Normality of the data is important, so we present a multivariate form of the Box-Cox family of transformations, of course combined with the作者: 細(xì)絲 時間: 2025-3-28 14:15 作者: harmony 時間: 2025-3-28 16:57
https://doi.org/10.1007/978-3-030-38822-5ed by (.) that extending biplot methodology to discriminant analysis is not only extremely useful for visual displays to accompany discriminant analysis but how the process of classification can be performed using biplot methodology. In particular, a method developed for the inclusion of categorical作者: 權(quán)宜之計 時間: 2025-3-28 20:40 作者: 誘騙 時間: 2025-3-28 23:14
Alexander V. Lagerev,Igor A. Lagerevn a landmark description which takes into account the . of each function and suggest also a graph-like representation which can help in the classification process. The method is illustrated using a real data set based on precipitation records.作者: 抵押貸款 時間: 2025-3-29 06:24
Alexander V. Lagerev,Igor A. Lagerevced techniques in numerical linear algebra can be used to design efficient algorithms for clustering and exploring these datasets. We illustrate this point with the method of Principal Direction Divisive Partitioning, a scalable unsupervised clustering algorithm which has been found to give high qua作者: 殺菌劑 時間: 2025-3-29 07:50 作者: epicardium 時間: 2025-3-29 12:43 作者: 暴露他抗議 時間: 2025-3-29 18:52 作者: 喪失 時間: 2025-3-29 22:33 作者: 時間等 時間: 2025-3-30 03:35 作者: agitate 時間: 2025-3-30 06:41 作者: Banister 時間: 2025-3-30 10:18 作者: Asperity 時間: 2025-3-30 13:00 作者: CIS 時間: 2025-3-30 18:50 作者: Working-Memory 時間: 2025-3-30 20:47
Amit Kumar Tyagi,Niladhuri Sreenathrs is maximized in the sense of maximizing a general dependence measure. We use Csiszár’s ?-divergence between the given two-way distribution and the independence case with the same margins. This includes the classical χ. measure, Kullback-Leibler’s discriminating information, and variation distance作者: 名詞 時間: 2025-3-31 01:48
https://doi.org/10.1007/978-3-642-18991-3Applied Data Analysis; Classification; Data Science; Gesellschaft für Klassifikation; Knowledge Organiza
