Implementation of nonhierarchic cluster analysis methods in chemical information systems: selection of compounds for biological testing and clustering of substructure search output

1986 ◽  
Vol 26 (3) ◽  
pp. 109-118 ◽  
Author(s):  
Peter Willett ◽  
Vivienne Winterman ◽  
David Bawden
Keyword(s):  
Cluster Analysis ◽  
Information Systems ◽  
Chemical Information ◽  
Biological Testing ◽  
Substructure Search ◽  
Analysis Methods ◽  
Selection Of

scholarly journals Management of Customer Service in Terms of Logistics Information Systems

2017 ◽  
Vol 7 (1) ◽  
pp. 26-30 ◽  
Author(s):  
Rudolf Kampf ◽  
Lenka Ližbetinová ◽  
Kamila Tišlerová
Keyword(s):  
Resource Allocation ◽  
Cluster Analysis ◽  
Information Systems ◽  
Knowledge Base ◽  
Customer Service ◽  
Competition Advantage ◽  
Customer Preferences ◽  
Logistics Services ◽  
Logistics Information ◽  
Selection Of

AbstractThis paper is focused on perceiving the logistic services as the competition advantage in frame of the ecommerce. Customers consider their purchases in its complexity and all the logistic services should be designed to meet with customers’ preferences as much as possible. Our aim was to identify and evaluate of customers perceiving in frame of sales proposals offered by e-shops. Collected data of research were processed with the usage of cluster analysis. The aim of this paper is to present the results and conclusions from this research with focus on the elements of logistics services within e-commerce. These outputs can be used for knowledge base of information systems through which enterprises evaluate their decisions and selection of variants. For the enterprise, it is important to appropriate decisions about resource allocation and design of the structure of logistics services were set based on real customer preferences.

Cluster Analysis of Antigenic Profiles of Tumors: Selection of Number of Clusters Using Akaike’s Information Criterion

1990 ◽  
Vol 29 (03) ◽  
pp. 200-204 ◽  
Author(s):  
J. A. Koziol
Keyword(s):  
Cluster Analysis ◽  
Basic Problem ◽  
Information Criterion ◽  
Akaike's Information Criterion ◽  
Cell Surface Antigens ◽  
Number Of Clusters ◽  
Akaike’S Information Criterion ◽  
Multinomial Data ◽  
Tumor Types ◽  
Selection Of

AbstractA basic problem of cluster analysis is the determination or selection of the number of clusters evinced in any set of data. We address this issue with multinomial data using Akaike’s information criterion and demonstrate its utility in identifying an appropriate number of clusters of tumor types with similar profiles of cell surface antigens.

Optimization of the selection of analysis methods for the determination of naturally occurring radionuclides

Kerntechnik ◽  
2008 ◽  
Vol 73 (3) ◽  
pp. 118-121
Author(s):  
T. Heinrich ◽  
L. Funke ◽  
M. Köhler ◽  
U.-K. Schkade ◽  
F. Ullrich ◽  
...  
Keyword(s):  
Naturally Occurring ◽  
Analysis Methods ◽  
Naturally Occurring Radionuclides ◽  
Selection Of

Skills vs. Concepts: A Comparison of Practitioners' and Educators' Preferences for Accounting Information Systems Proficiencies

2015 ◽  
Vol 10 (1) ◽  
pp. 5-25 ◽  
Author(s):  
Jack L. Winstead ◽  
Mitchell R. Wenger
Keyword(s):  
Information Systems ◽  
Business Cycles ◽  
New Technologies ◽  
Accounting Information ◽  
Accounting Information Systems ◽  
Public Practice ◽  
Differences Of Opinion ◽  
Accounting Software ◽  
Computer Operation ◽  
Selection Of

ABSTRACT This study investigates whether AIS instructors' selection of topics adequately prepares graduates for the expectations of employers seeking candidates who can adapt to the pace of technological change. As businesses adopt new technologies, stakeholders of the accounting profession must periodically reassess educational needs in the area of accounting information systems (AIS). Because AIS is a field that encompasses a wide variety of conceptual and skill-based topics, the selection of course topics can result in a “gap” between what academics and CPA firms expect from new accountants. Given the variety of topic areas, do academics and CPAs agree on which ones to emphasize, or what levels of proficiency are appropriate for each topic? In this study, academics and accountants, primarily in public practice, completed identical surveys regarding desired levels of proficiencies. The results suggest agreement on desired levels of proficiency regarding computer operation and use of accounting software to complete basic tasks and create reports, while suggesting differences of opinion in six other areas (understanding business cycles in an electronic environment, understanding data-sharing technologies, using XBRL, comprehending business needs and how technology could solve problems, understanding e-commerce, and the basics of safeguarding electronic accounting records). Participants concluded by offering observations about the strengths and weaknesses of newly employed accountants.

Using clusterization principles for the selection of repair sections of main oil pipelines based on diagnostic data

2011 ◽  
Vol 8 (1) ◽  
pp. 201-210
Author(s):  
R.M. Bogdanov
Keyword(s):  
Cluster Analysis ◽  
Defect Density ◽  
Density Variation ◽  
Distance Functions ◽  
Oil Pipeline ◽  
Oil Pipelines ◽  
Classification Of Images ◽  
Main Oil Pipeline ◽  
Selection Of

The problem of determining the repair sections of the main oil pipeline is solved, basing on the classification of images using distance functions and the clustering principle, The criteria characterizing the cluster are determined by certain given values, based on a comparison with which the defect is assigned to a given cluster, procedures for the redistribution of defects in cluster zones are provided, and the cluster zones parameters are being changed. Calculations are demonstrating the range of defect density variation depending on pipeline sections and the universal capabilities of linear objects configuration with arbitrary density, provided by cluster analysis.

Using Cluster Analysis to Improve Marketing Experiments

1971 ◽  
Vol 8 (3) ◽  
pp. 340-347 ◽  
Author(s):  
George S. Day ◽  
Roger M. Heeler
Keyword(s):  
Cluster Analysis ◽  
Space Representation ◽  
Reduced Space ◽  
High Degree ◽  
Degree Of Similarity ◽  
Sensitive Experiment ◽  
Selection Of

When the selection of a sample of stores or cities requires a high degree of similarity among the test units in order to ensure a sensitive experiment, the sample may no longer represent the market. These conflicting requirements can be satisfied by choosing the sample from clusters displayed in a reduced space representation of the market.

scholarly journals Spatial Chemometrics and Comprehensive Chemical Imaging based Molecular Histopathology Delineates Anatomical Heterogeneity at Single Pixel Resolution

2020 ◽  
Author(s):  
Patrick Wehrli ◽  
Wojciech Michno ◽  
Laurent Guerard ◽  
Julia Fernandez-Rodriguez ◽  
Anders Bergh ◽  
...  
Keyword(s):  
Image Registration ◽  
Biological Tissues ◽  
Chemical Imaging ◽  
Chemical Information ◽  
Imaging Data ◽  
Pixel Resolution ◽  
Registration Method ◽  
Analysis Methods ◽  
Multiple Imaging ◽  
Single Pixel

<p>Imaging mass spectrometry (IMS) is a powerful tool for spatially-resolved chemical analysis and thereby offers novel perspectives for applications in biology and medicine. The understanding of chemically complex systems, such as biological tissues, benefits from the combination of multiple imaging modalities contributing with complementary molecular information. Effective analysis and interpretation of multimodal IMS data is challenging and requires both, precise alignment and combination of the imaging data as well as suitable statistical analysis methods to identify cross-modal correlations. Commonly applied IMS data analysis methods include qualitative comparative analysis where cross-modal interpretation is subject to human judgement; Workflows that incorporate image registration procedures are usually applied for co-representing data rather than to mine data across modalities. </p><p>Here, we present an IMS-based, histology-driven strategy for comprehensive interrogation of biological tissues by spatial chemometrics. Our workflow implements a 1+1-evolutionary image registration method enabling direct correlation of chemical information across multiple modalities at single pixel resolution. Comprehensive multimodal imaging data were evaluated using a novel approach based on orthogonal multiblock component analysis (OnPLS). Finally, we present a novel image fusion method by implementing consecutively acquired pathological staining data to enhance histological interpretation.</p><p>We demonstrate the method’s potential in two biomedical applications where trimodal matrix-assisted laser desorption/ionization (MALDI) IMS delineates pathology associated co-localization patterns of lipids and proteins in (1) a transgenic Alzheimer’s disease (AD) mouse model, and in (2) a human xenograft rat model of prostate cancer. The presented image analysis paradigm allows to comprehensively interrogate complex biological systems with single pixel resolution at cellular length scales.</p>

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