標(biāo)題: Titlebook: Classification and Multivariate Analysis for Complex Data Structures; Bernard Fichet,Domenico Piccolo,Maurizio Vichi Conference proceeding [打印本頁(yè)] 作者: iniquity 時(shí)間: 2025-3-21 19:56
書(shū)目名稱(chēng)Classification and Multivariate Analysis for Complex Data Structures影響因子(影響力)
書(shū)目名稱(chēng)Classification and Multivariate Analysis for Complex Data Structures影響因子(影響力)學(xué)科排名
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書(shū)目名稱(chēng)Classification and Multivariate Analysis for Complex Data Structures網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Classification and Multivariate Analysis for Complex Data Structures被引頻次
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書(shū)目名稱(chēng)Classification and Multivariate Analysis for Complex Data Structures讀者反饋
書(shū)目名稱(chēng)Classification and Multivariate Analysis for Complex Data Structures讀者反饋學(xué)科排名
作者: BIDE 時(shí)間: 2025-3-21 20:58
Research-Based Teacher Evaluation of .(.). This second step determines the choice of . by using a classification criterion based on the ordering of the sample mean squared errors. The research belongs to the theory of optimal design of experiments [2], that is employed in the Taguchi Methods, used in off-line control [6].作者: 追蹤 時(shí)間: 2025-3-22 02:28
A Cognitive Approach to Audio Description graph and Laplacian matrix. The second step concerns the comparison between the obtained distance matrices by using Multidimensional Scaling techniques. The procedure has a wide range of application, especially for experimental purposes in social network applications where this issue has not been treated systematically.作者: 昏睡中 時(shí)間: 2025-3-22 07:46
Kulnaree Sueroj,Phatteera Sarakornborriraktimes compared to other incremental building methods and is particularly well adapted to the visualization of groups of data (i.e. clusters) thanks to the super-node structure. In addition the visualization using a force-directed algorithm respects the real distances between data.作者: ablate 時(shí)間: 2025-3-22 11:00 作者: sacrum 時(shí)間: 2025-3-22 14:01 作者: sacrum 時(shí)間: 2025-3-22 18:58
On Building and Visualizing Proximity Graphs for Large Data Sets with Artificial Antstimes compared to other incremental building methods and is particularly well adapted to the visualization of groups of data (i.e. clusters) thanks to the super-node structure. In addition the visualization using a force-directed algorithm respects the real distances between data.作者: 類(lèi)型 時(shí)間: 2025-3-23 00:15 作者: 食品室 時(shí)間: 2025-3-23 05:15 作者: persistence 時(shí)間: 2025-3-23 07:40 作者: Fatten 時(shí)間: 2025-3-23 13:38 作者: antipsychotic 時(shí)間: 2025-3-23 15:08
https://doi.org/10.1007/978-3-030-53857-6he concentration of the pixels around the characteristic gray levels of the different image structures. In this paper, a novel procedure will be discussed exploiting fuzzy set theory and fuzzy entropy to find automatically the optimal number of thresholds and their location in the image histograms.作者: 膽小鬼 時(shí)間: 2025-3-23 18:57
Dawne Fahey,Deborah Cunningham Breedere models can introduce some improvements: the problem of choosing a metric for clustering is avoided; membership degree is assessed by posterior probability; a testing procedure for outlier detection can be devised.作者: 故意 時(shí)間: 2025-3-24 00:54 作者: ciliary-body 時(shí)間: 2025-3-24 03:02 作者: upstart 時(shí)間: 2025-3-24 09:54 作者: 泰然自若 時(shí)間: 2025-3-24 10:49
A Study on Text Modelling via Dirichlet Compound Multinomiall [5], we implement a Dirichlet compound Multinomial distribution that is a mixture of random variables over words and topics. On the basis of this model we evaluate the predictive performance of the distribution by using seven different classifiers and taking into account the count of words in common between text document and reference class.作者: Hemoptysis 時(shí)間: 2025-3-24 18:07 作者: ADAGE 時(shí)間: 2025-3-24 22:48 作者: incite 時(shí)間: 2025-3-25 02:03 作者: ALLEY 時(shí)間: 2025-3-25 06:47
Conference proceedings 2011ecial attention is paid to new methodological contributions fromboth the theoretical and the applicative point of views, in the fields of Clustering, Classification, Time Series Analysis, Multidimensional Data Analysis, Knowledge Discovery from Large Datasets, Spatial Statistics.作者: 脫毛 時(shí)間: 2025-3-25 09:51 作者: aristocracy 時(shí)間: 2025-3-25 14:55
1431-8814 he applicative point of views, in the fields of Clustering, Classification, Time Series Analysis, Multidimensional Data Analysis, Knowledge Discovery from Large Datasets, Spatial Statistics.978-3-642-13311-4978-3-642-13312-1Series ISSN 1431-8814 Series E-ISSN 2198-3321 作者: anniversary 時(shí)間: 2025-3-25 17:46
https://doi.org/10.1007/978-3-031-09581-8data table loose the histograms constraints and suppose independencies between the bins but copulas takes care of the probabilities and the underlying dependencies. Then, we give several ways for representing the units (called “individuals”), the bins, the variables and the metabins when the number 作者: FLAIL 時(shí)間: 2025-3-25 21:18
Menno L. W. Knetsch,Thomas J. Cleije-dimensional continuum. An indication is given for how the overall process converges to a (possibly local) optimum. As an illustration, the method is applied to the analysis of a published observational data set.作者: ORE 時(shí)間: 2025-3-26 01:18
Herco Fonteijn,Arie van der Lugtclusters. We present two likelihood ratio tests for the number of clusters based on the Poisson processes. Most of these clustering methods and tests for the number of clusters have been extended to symbolic data.作者: Fracture 時(shí)間: 2025-3-26 05:09
Menno L. W. Knetsch,Thomas J. Cleijon with a fast algorithm is applied: the best split of the objects is found in the set of candidate (prospective) splits of each predictor modalities by maximizing the predictability of the two-class response. Some applications on real world cases and a simulation study allow to demonstrate that the作者: Gesture 時(shí)間: 2025-3-26 11:08 作者: 不持續(xù)就爆 時(shí)間: 2025-3-26 12:46 作者: 物種起源 時(shí)間: 2025-3-26 17:30 作者: 啜泣 時(shí)間: 2025-3-27 00:31 作者: 掃興 時(shí)間: 2025-3-27 04:01
TWO-CLASS Trees for Non-Parametric Regression Analysison with a fast algorithm is applied: the best split of the objects is found in the set of candidate (prospective) splits of each predictor modalities by maximizing the predictability of the two-class response. Some applications on real world cases and a simulation study allow to demonstrate that the作者: 割公牛膨脹 時(shí)間: 2025-3-27 07:04
Optimal Scaling Trees for Three-Way Dataassification and regression trees for three-way data..In this paper we introduce a tree-based method based on optimal scaling in order to account of the presence of non-linear correlated groups of variables. The results of a real world application on Tourist Satisfaction Analysis in Naples will be a作者: 祖?zhèn)髫?cái)產(chǎn) 時(shí)間: 2025-3-27 12:26
Bernard Fichet,Domenico Piccolo,Maurizio VichiLatest advances in data analysis methods for multidimensional data.With contributions by international experts.Special attention to new methodological contributions from theoretical and applicative po作者: Conjuction 時(shí)間: 2025-3-27 15:39 作者: 催眠藥 時(shí)間: 2025-3-27 20:42 作者: Ringworm 時(shí)間: 2025-3-27 23:01 作者: indenture 時(shí)間: 2025-3-28 03:55 作者: 凝乳 時(shí)間: 2025-3-28 08:27 作者: 異常 時(shí)間: 2025-3-28 13:50
Statistical Models to Predict Academic Churn RiskThis paper describes a research conducted on university students careers. The purpose is to study, describe and prevent the phenomenon of abandonment (churn). Results from predictive models may be employed to start activities of personalized tutoring, aimed at preventing the phenomena作者: Pillory 時(shí)間: 2025-3-28 15:38
Efficient Incorporation of Additional Information to Classification RulesWe propose and discuss improved classification rules when a subset of the predictors is known to be ordered. We compare the performance of the new rules with other standard rules in a restricted normal setting using simulation experiments and real data exposing their good performance.作者: 深陷 時(shí)間: 2025-3-28 20:53
Classification and Multivariate Analysis for Complex Data Structures978-3-642-13312-1Series ISSN 1431-8814 Series E-ISSN 2198-3321 作者: 牢騷 時(shí)間: 2025-3-28 23:39 作者: HATCH 時(shí)間: 2025-3-29 06:09
https://doi.org/10.1007/978-3-031-09581-8exploratory tools of Multidimensional Data Analysis is the basis of different research strategies, proposed by the authors, combining the common estimation method with its geometrical representation. Here we present a systematic and unitary review of some of these methodologies by taking into accoun作者: modish 時(shí)間: 2025-3-29 09:22 作者: Engulf 時(shí)間: 2025-3-29 13:13
Herco Fonteijn,Arie van der Lugtocess, and it plays a role in point process theory in most respects analogous to the normal distribution in the study of random variables. We first propose a statistical model for cluster analysis based on the homogeneous Poisson process. The clustering criterion is extracted from that model thanks 作者: GOAT 時(shí)間: 2025-3-29 18:00
Menno L. W. Knetsch,Thomas J. Cleijinterpretation issues. A TWO-CLASS tree methodoloy for non-parametric regression analysis is introduced. Data are as follows: a numerical response variable and a set of predictors (of categorical and/or numerical type) are measured on a sample of objects, with no probability assumption. Thus a non-p作者: 流動(dòng)才波動(dòng) 時(shí)間: 2025-3-29 20:28 作者: forager 時(shí)間: 2025-3-30 00:50 作者: 不合 時(shí)間: 2025-3-30 07:06 作者: Aviary 時(shí)間: 2025-3-30 08:42
Deborah L. Mulligan,Patrick Alan Danahercuments and word counts, we employ a distribution able to model words along text considering different topics. In this regard, following Minka proposal [5], we implement a Dirichlet compound Multinomial distribution that is a mixture of random variables over words and topics. On the basis of this mo作者: 游行 時(shí)間: 2025-3-30 13:11
https://doi.org/10.1007/978-3-030-53857-6ng regions. In gray scale images this task is obtained by properly detecting, on the corresponding gray levels histogram, the valleys that space out the concentration of the pixels around the characteristic gray levels of the different image structures. In this paper, a novel procedure will be discu作者: ventilate 時(shí)間: 2025-3-30 17:53
Dawne Fahey,Deborah Cunningham Breeded in conjunction with graphical tools for outlier identification. In this paper, we show that recasting FS clustering in the framework of normal mixture models can introduce some improvements: the problem of choosing a metric for clustering is avoided; membership degree is assessed by posterior prob作者: implore 時(shí)間: 2025-3-31 00:41
A Cognitive Approach to Audio Description. (.=1,2). Comparison is based on the evaluation of the how the relational node distances evolve in the passage from the first net (..) to the second net (..). The procedure consists of two steps: (.) define an appropriate relational distance among nodes of the two networks; (.) compare the correspo作者: 真 時(shí)間: 2025-3-31 02:52
A Cognitive Approach to Audio Descriptionportant improvement that allows a relevant saving of time or resources during computations. Histograms are a good solution, offering a good balance between computation cost and accuracy. Multidimensional data require more complicated handling in order to keep these two requirements within significan作者: 伙伴 時(shí)間: 2025-3-31 08:57 作者: BANAL 時(shí)間: 2025-3-31 09:55 作者: padding 時(shí)間: 2025-3-31 17:17 作者: grovel 時(shí)間: 2025-3-31 21:36
Ordering and Scaling Objects in Multivariate Data Under Nonlinear Transformations of Variablese transformed in the process of optimizing the objective function. Given an ordering of objects, optimal transformation of variables is guaranteed by the combined use of majorization (a particular (sub)gradient optimization method) and projection methods. The optimal sequencing is a combinatorial ta作者: prodrome 時(shí)間: 2025-3-31 23:28
