Relevant bibliographies by topics / Cluster analysis – Data processing

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Cluster analysis – Data processing'

Author: Grafiati
Published: 4 June 2021
Last updated: 30 January 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Cluster analysis – Data processing.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Cluster analysis – Data processing"

1

Zanev, Vladimir, Stanislav Topalov, and Veselin Christov. "Analysis and Data Mining of Lead-Zinc Ore Data." Serdica Journal of Computing 7, no. 3 (2014): 271–80. http://dx.doi.org/10.55630/sjc.2013.7.271-280.

Full text
Abstract:
This paper presents the results of our data mining study of Pb-Zn (lead-zinc) ore assay records from a mine enterprise in Bulgaria. We examined the dataset, cleaned outliers, visualized the data, and created dataset statistics. A Pb-Zn cluster data mining model was created for segmentation and prediction of Pb-Zn ore assay data. The Pb-Zn cluster data model consists of five clusters and DMX queries. We analyzed the Pb-Zn cluster content, size, structure, and characteristics. The set of the DMX queries allows for browsing and managing the clusters, as well as predicting ore assay records. A tes
APA, Harvard, Vancouver, ISO, and other styles
2

Karlashevych, Ivan, and Volodymyr Pravda. "Use of Cluster Analysis Method to Increase the Efficiency and Accuracy of Radar Data Processing." Computational Problems of Electrical Engineering 7, no. 1 (2017): 33–36. http://dx.doi.org/10.23939/jcpee2017.01.033.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Ocampo, Daniel Morin, and Luiz Caldeira Brant de Tolentino-Neto. "Cluster Analysis for Data Processing in Educational Research." Acta Scientiae 21, no. 4 (2019): 34–48. http://dx.doi.org/10.17648/acta.scientiae.v21iss4id5119.

Full text
Abstract:
Quantitative approaches to educational research have been undervalued and consequently less widely used. In this sense, this paper aims to present and analyze the techniques of Cluster Analysis as a possibility for research in sciences area. Therefore, the main hierarchical and non-hierarchical techniques of Cluster Analysis are presented, as well as some of their applications in educational research found in the literature. Cluster Analysis is adequate to simplify or elaborate hypotheses on massive data, such as large-scale educational research. The studies in the area of education that used
APA, Harvard, Vancouver, ISO, and other styles
4

Tkachev, Ivan, Roman Vasilyev, and Elena Belousova. "Cluster analysis of lightning discharges: based on Vereya-MR network data." Solar-Terrestrial Physics 7, no. 4 (2021): 85–92. http://dx.doi.org/10.12737/stp-74202109.

Full text
Abstract:
Monitoring thunderstorm activity can help you solve many problems such as infrastructure facility protection, warning of hazardous phenomena associated with intense precipitation, study of conditions for the occurrence of thunderstorms and the degree of their influence on human activity, as well as the influence of thunderstorm activity on the formation of near-Earth space. We investigate the characteristics of thunderstorm cells by the method of cluster analysis. We take the Vereya-MR network data accumulated over a period from 2012 to 2018 as a basis. The Vereya-MR network considered in this
APA, Harvard, Vancouver, ISO, and other styles
5

Melnikov, B. F., P. I. Averin, and E. A. Melnikova. "Intelligent processing of acoustic emission data based on cluster analysis." Journal of Physics: Conference Series 1236 (June 2019): 012044. http://dx.doi.org/10.1088/1742-6596/1236/1/012044.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Rose, Rodrigo L., Tejas G. Puranik, and Dimitri N. Mavris. "Natural Language Processing Based Method for Clustering and Analysis of Aviation Safety Narratives." Aerospace 7, no. 10 (2020): 143. http://dx.doi.org/10.3390/aerospace7100143.

Full text
Abstract:
The complexity of commercial aviation operations has grown substantially in recent years, together with a diversification of techniques for collecting and analyzing flight data. As a result, data-driven frameworks for enhancing flight safety have grown in popularity. Data-driven techniques offer efficient and repeatable exploration of patterns and anomalies in large datasets. Text-based flight safety data presents a unique challenge in its subjectivity, and relies on natural language processing tools to extract underlying trends from narratives. In this paper, a methodology is presented for th
APA, Harvard, Vancouver, ISO, and other styles
7

Jung, Se-Hoon, Jong-Chan Kim, and Chun-Bo Sim. "Prediction Data Processing Scheme using an Artificial Neural Network and Data Clustering for Big Data." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 1 (2016): 330. http://dx.doi.org/10.11591/ijece.v6i1.9334.

Full text
Abstract:
Various types of derivative information have been increasing exponentially, based on mobile devices and social networking sites (SNSs), and the information technologies utilizing them have also been developing rapidly. Technologies to classify and analyze such information are as important as data generation. This study concentrates on data clustering through principal component analysis and K-means algorithms to analyze and classify user data efficiently. We propose a technique of changing the cluster choice before cluster processing in the existing K-means practice into a variable cluster cho
APA, Harvard, Vancouver, ISO, and other styles
8

Jung, Se-Hoon, Jong-Chan Kim, and Chun-Bo Sim. "Prediction Data Processing Scheme using an Artificial Neural Network and Data Clustering for Big Data." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 1 (2016): 330. http://dx.doi.org/10.11591/ijece.v6i1.pp330-336.

Full text
Abstract:
Various types of derivative information have been increasing exponentially, based on mobile devices and social networking sites (SNSs), and the information technologies utilizing them have also been developing rapidly. Technologies to classify and analyze such information are as important as data generation. This study concentrates on data clustering through principal component analysis and K-means algorithms to analyze and classify user data efficiently. We propose a technique of changing the cluster choice before cluster processing in the existing K-means practice into a variable cluster cho
APA, Harvard, Vancouver, ISO, and other styles
9

Susanty, Aries, Bambang Purwanggono, Nia Budi Puspitasari, and Chellsy Allison. "Conjoint Analysis for Evaluation of Customer’s Preference of Analgesic Generic Medicines under Non-proprietary Names." E3S Web of Conferences 202 (2020): 12022. http://dx.doi.org/10.1051/e3sconf/202020212022.

Full text
Abstract:
The main objective of this research is to get greater insight into the customer preferences in purchasing analgesic generic medicines under the non-proprietary name and to identify clusters with different preference structures. This research uses conjoint analysis (CA) and cluster analysis as data processing. This research collects the data through questionnaire from 200 respondents and uses the convenience sampling method to choose 200 respondents from sixteen districts in Semarang. The result of data processing with conjoint analysis indicated that customer prefers the analgesic generic medi
APA, Harvard, Vancouver, ISO, and other styles
10

Haryono Setiadi, Safira Nuri Safitri, and Esti Suryani. "Educational Data Mining Menggunakan Metode Analysis Cluster dan Decision Tree berdasarkan Log Mining." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 6, no. 3 (2022): 448–56. http://dx.doi.org/10.29207/resti.v6i3.3935.

Full text
Abstract:
Educational Data Mining (EDM) often appears to be applied in big data processing in the education sector. One of the educational data that can be further processed with EDM is activity log data from an e-learning system used in teaching and learning activities. The log activity can be further processed more specifically by using log mining. The purpose of this study was to process log data from the Sebelas Maret University Online Learning System (SPADA UNS) to determine student learning behavior patterns and their relationship to the final results obtained. The data mining method applied in th
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Cluster analysis – Data processing"

1

Zhang, Yiqun. "Advances in categorical data clustering." HKBU Institutional Repository, 2019. https://repository.hkbu.edu.hk/etd_oa/658.

Full text
Abstract:
Categorical data are common in various research areas, and clustering is a prevalent technique used for analyse them. However, two challenging problems are encountered in categorical data clustering analysis. The first is that most categorical data distance metrics were actually proposed for nominal data (i.e., a categorical data set that comprises only nominal attributes), ignoring the fact that ordinal attributes are also common in various categorical data sets. As a result, these nominal data distance metrics cannot account for the order information of ordinal attributes and may thus inappr
APA, Harvard, Vancouver, ISO, and other styles
2

Jia, Hong. "Clustering of categorical and numerical data without knowing cluster number." HKBU Institutional Repository, 2013. http://repository.hkbu.edu.hk/etd_ra/1495.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Yang, Bin, and 杨彬. "A novel framework for binning environmental genomic fragments." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B45789344.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Li, Junjie. "Some algorithmic studies in high-dimensional categorical data clustering and selection number of clusters." HKBU Institutional Repository, 2008. http://repository.hkbu.edu.hk/etd_ra/1011.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Lee, King-for Foris, and 李敬科. "Clustering uncertain data using Voronoi diagram." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B43224131.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Ptitsyn, Andrey. "New algorithms for EST clustering." Thesis, University of the Western Cape, 2000. http://etd.uwc.ac.za/index.php?module=etd&amp.

Full text
Abstract:
Expressed sequence tag database is a rich and fast growing source of data for gene expression analysis and drug discovery. Clustering of raw EST data is a necessary step for further analysis and one of the most challenging problems of modem computational biology.
APA, Harvard, Vancouver, ISO, and other styles
7

Van, Der Linde Byron-Mahieu. "A comparative analysis of the singer’s formant cluster." Thesis, Stellenbosch : Stellenbosch University, 2013. http://hdl.handle.net/10019.1/85563.

Full text
Abstract:
Thesis (MMus)-- Stellenbosch University, 2013.<br>ENGLISH ABSTRACT: It is widely accepted that the singer’s formant cluster (Fs) – perceptual correlates being twang and ring, and pedagogically referred to as head resonance – is the defining trait of a classically trained voice. Research has shown that the spectral energy a singer harnesses in the Fs region can be measured quantitatively using spectral indicators Short-Term Energy Ratio (STER) and Singing Power Ratio (SPR). STER is a modified version of the standard measurement tool Energy Ratio (ER) that repudiates dependency on the Long-
APA, Harvard, Vancouver, ISO, and other styles
8

Ramirez, Jon. "Analysis of compute cluster nodes with varying memory hierarchy distributions." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2009. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Cole, Rowena Marie. "Clustering with genetic algorithms." University of Western Australia. Dept. of Computer Science, 1998. http://theses.library.uwa.edu.au/adt-WU2003.0008.

Full text
Abstract:
Clustering is the search for those partitions that reflect the structure of an object set. Traditional clustering algorithms search only a small sub-set of all possible clusterings (the solution space) and consequently, there is no guarantee that the solution found will be optimal. We report here on the application of Genetic Algorithms (GAs) -- stochastic search algorithms touted as effective search methods for large and complex spaces -- to the problem of clustering. GAs which have been made applicable to the problem of clustering (by adapting the representation, fitness function,
APA, Harvard, Vancouver, ISO, and other styles
10

Cui, Yingjie, and 崔英杰. "A study on privacy-preserving clustering." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B4357225X.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Cluster analysis – Data processing"

1

Analysis of longitudinal and cluster-correlated data. Institute of Mathematical Statistics, 2004.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Moisl, Hermann. Cluster analysis for corpus linguistics. De Gruyter, 2015.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

C, Dubes Richard, ed. Algorithms for clustering data. Prentice Hall, 1988.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Backer, E. Computer-assisted reasoning in cluster analysis. Prentice Hall, 1995.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Mucha, Hans-Joachim. Clusteranalyse mit Mikrocomputern. Akademie Verlag, 1992.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Cluster dissection and analysis: Theory, FORTRAN programs, examples. Horwood, 1985.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Willett, Peter. Parallel database processing: Text retrieval and cluster analysis using the DAP. Pitman, 1990.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Kaufman, Leonard. Finding groups in data: An introduction to cluster analysis. Wiley, 2005.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

Kaufman, Leonard. Finding groups in data: An introduction to cluster analysis. Wiley, 1990.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Viattchenin, Dmitri A. A heuristic approach to possibilistic clustering: Algorithms and applications. Springer, 2013.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Cluster analysis – Data processing"

1

Bezdek, James C., James Keller, Raghu Krisnapuram, and Nikhil R. Pal. "Cluster Analysis for Object Data." In Fuzzy Models and Algorithms for Pattern Recognition and Image Processing. Springer US, 1999. http://dx.doi.org/10.1007/0-387-24579-0_2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Bezdek, James C., James Keller, Raghu Krisnapuram, and Nikhil R. Pal. "Cluster Analysis for Relational Data." In Fuzzy Models and Algorithms for Pattern Recognition and Image Processing. Springer US, 1999. http://dx.doi.org/10.1007/0-387-24579-0_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Geweniger, Tina, Frank-Michael Schleif, Alexander Hasenfuss, Barbara Hammer, and Thomas Villmann. "Comparison of Cluster Algorithms for the Analysis of Text Data Using Kolmogorov Complexity." In Advances in Neuro-Information Processing. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03040-6_8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Klawonn, Frank. "Identifying Single Good Clusters in Data Sets." In Advances in Machine Vision, Image Processing, and Pattern Analysis. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11821045_17.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Yu, Renwei, Mithila Nagendra, Parth Nagarkar, K. Selçuk Candan, and Jong Wook Kim. "Data-Utility Sensitive Query Processing on Server Clusters to Support Scalable Data Analysis Services." In Lecture Notes in Business Information Processing. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19294-4_7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Caruso, Giulia, Adelia Evangelista, and Stefano Antonio Gattone. "Profiling visitors of a national park in Italy through unsupervised classification of mixed data." In Proceedings e report. Firenze University Press, 2021. http://dx.doi.org/10.36253/978-88-5518-304-8.27.

Full text
Abstract:
Cluster analysis has for long been an effective tool for analysing data. Thus, several disciplines, such as marketing, psychology and computer sciences, just to mention a few, did take advantage from its contribution over time. Traditionally, this kind of algorithm concentrates only on numerical or categorical data at a time. In this work, instead, we analyse a dataset composed of mixed data, namely both numerical than categorical ones. More precisely, we focus on profiling visitors of the National Park of Majella in the Abruzzo region of Italy, which observations are characterized by variables such as gender, age, profession, expectations and satisfaction rate on park services. Applying a standard clustering procedure would be wholly inappropriate in this case. Therefore, we hereby propose an unsupervised classification of mixed data, a specific procedure capable of processing both numerical than categorical variables simultaneously, releasing truly precious information. In conclusion, our application therefore emphasizes how cluster analysis for mixed data can lead to discover particularly informative patterns, allowing to lay the groundwork for an accurate customers profiling, starting point for a detailed marketing analysis.
APA, Harvard, Vancouver, ISO, and other styles
7

Li, Xianghua. "Simulation Analysis of the Life Cycle of the Tire Industry Cluster Based on the Complex Network." In Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019). Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1468-5_196.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Shi, Xuan. "Parallelizing Affinity Propagation Using Graphics Processing Units for Spatial Cluster Analysis over Big Geospatial Data." In Advances in Geocomputation. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-22786-3_32.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

McCreadie, Richard, John Soldatos, Jonathan Fuerst, et al. "Leveraging Data-Driven Infrastructure Management to Facilitate AIOps for Big Data Applications and Operations." In Technologies and Applications for Big Data Value. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78307-5_7.

Full text
Abstract:
AbstractAs institutions increasingly shift to distributed and containerized application deployments on remote heterogeneous cloud/cluster infrastructures, the cost and difficulty of efficiently managing and maintaining data-intensive applications have risen. A new emerging solution to this issue is Data-Driven Infrastructure Management (DDIM), where the decisions regarding the management of resources are taken based on data aspects and operations (both on the infrastructure and on the application levels). This chapter will introduce readers to the core concepts underpinning DDIM, based on experience gained from development of the Kubernetes-based BigDataStack DDIM platform (https://bigdatastack.eu/). This chapter involves multiple important BDV topics, including development, deployment, and operations for cluster/cloud-based big data applications, as well as data-driven analytics and artificial intelligence for smart automated infrastructure self-management. Readers will gain important insights into how next-generation DDIM platforms function, as well as how they can be used in practical deployments to improve quality of service for Big Data Applications.This chapter relates to the technical priority Data Processing Architectures of the European Big Data Value Strategic Research &amp; Innovation Agenda [33], as well as the Data Processing Architectures horizontal and Engineering and DevOps for building Big Data Value vertical concerns. The chapter relates to the Reasoning and Decision Making cross-sectorial technology enablers of the AI, Data and Robotics Strategic Research, Innovation &amp; Deployment Agenda [34].
APA, Harvard, Vancouver, ISO, and other styles
10

Divjak, Dagmar, and Nick Fieller. "Cluster analysis." In Human Cognitive Processing. John Benjamins Publishing Company, 2014. http://dx.doi.org/10.1075/hcp.43.16div.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Cluster analysis – Data processing"

1

Cui, Guangcai, and Hongwei Gao. "Rough Set Processing Outliers in Cluster Analysis." In 2019 IEEE 4th International Conference on Cloud Computing and Big Data Analysis (ICCCBDA). IEEE, 2019. http://dx.doi.org/10.1109/icccbda.2019.8725708.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Moskvichev, V. V., U. S. Postnikova, and O. V. Taseiko. "Cluster analysis and individual anthropogenic risk." In Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes 2021. Crossref, 2021. http://dx.doi.org/10.25743/sdm.2021.54.88.063.

Full text
Abstract:
Models and assessment methods of anthropogenic risk are analyzed at this article, general basis of mathematical approach for risk analysis is disclosed. Based on multivariate statistic methods, algorithm of analysis for Siberian territories safety is formulated, it allows to define acceptable level of risk for each territorial group (cities with population density more than 70 000, towns with population less than 70 000, and municipals areas).
APA, Harvard, Vancouver, ISO, and other styles
3

Yu, Zhanwu, Bin Hu, Zhongmin Li, and Zeng Wu. "GlobeSIGht: a geospace information system based on double-cluster architecture." In International Conference on Earth Observation Data Processing and Analysis, edited by Deren Li, Jianya Gong, and Huayi Wu. SPIE, 2008. http://dx.doi.org/10.1117/12.808592.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Pal, Amrit, and Sanjay Agrawal. "A Time Based Analysis of Data Processing on Hadoop Cluster." In 2014 International Conference on Computational Intelligence and Communication Networks (CICN). IEEE, 2014. http://dx.doi.org/10.1109/cicn.2014.136.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Giurcaneanu, C. D., I. Tabus, I. Shmulevich, and Wei Zhang. "Stability-based cluster analysis applied to microarray data." In Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings. IEEE, 2003. http://dx.doi.org/10.1109/isspa.2003.1224814.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Ma, Yingning. "Cluster analysis for cancer omics data using Neural Network with data augmentation." In SPML 2022: 2022 5th International Conference on Signal Processing and Machine Learning. ACM, 2022. http://dx.doi.org/10.1145/3556384.3556388.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Li, Wei, Qiuqi Ruan, Gaoyun An, and Jun Wan. "Feature extraction of multimodal data by cluster-based correlation discriminative analysis." In 2012 11th International Conference on Signal Processing (ICSP 2012). IEEE, 2012. http://dx.doi.org/10.1109/icosp.2012.6491702.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Cebeci, Zeynel, and Cagatay Cebeci. "kpeaks: An R Package for Quick Selection of K for Cluster Analysis." In 2018 International Conference on Artificial Intelligence and Data Processing (IDAP). IEEE, 2018. http://dx.doi.org/10.1109/idap.2018.8620896.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Godara, Hanuman, M. C. Govil, and E. S. Pilli. "Performance Factor Analysis and Scope of Optimization for Big Data Processing on Cluster." In 2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC). IEEE, 2018. http://dx.doi.org/10.1109/pdgc.2018.8745857.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Vats, Prashant, Manju Mandot, and Anjana Gosain. "A Comparative Analysis of Various Cluster Detection Techniques for Data Mining." In 2014 International Conference on Electronic Systems, Signal Processing and Computing Technologies (ICESC). IEEE, 2014. http://dx.doi.org/10.1109/icesc.2014.67.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Cluster analysis – Data processing"

1

Chandar, Bharat, Ali Hortaçsu, John List, Ian Muir, and Jeffrey Wooldridge. Design and Analysis of Cluster-Randomized Field Experiments in Panel Data Settings. National Bureau of Economic Research, 2019. http://dx.doi.org/10.3386/w26389.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Fowler, Kimberly M., Alison H. A. Colotelo, Janelle L. Downs, et al. Simplified Processing Method for Meter Data Analysis. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1255411.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Jelski, Daniel A., Z. C. Wu, and Thomas F. George. An Inquiry into the Structure of the Si60 Cluster: Analysis of Fragmentation Data. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada215488.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Hodgkiss, W. S. Shallow Water Adaptive Array Processing and Data Analysis. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada306525.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Boyd, Timothy J. Processing and Analysis of SCICEX-2000 CTD Data. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada628072.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Boyd, Timothy. Processing and Analysis of SCICEX-2000 CTD Data. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada626128.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Mayo, Jackson R., W. Philip, Jr Kegelmeyer, Matthew H. Wong, et al. A framework for graph-based synthesis, analysis, and visualization of HPC cluster job data. Office of Scientific and Technical Information (OSTI), 2010. http://dx.doi.org/10.2172/992310.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Spina, John F. Integrated RF Sensor Signal/Data Processing Information Analysis Center (IAC). Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada401075.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Konovalov, Mikhail. Analysis of Industrial Software Solutions for Data Processing and Storage. Intellectual Archive, 2019. http://dx.doi.org/10.32370/iaj.2071.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Cheng, Yi-Wen, and Christian L. Sargent. Data-reduction and analysis procedures used in NIST's thermomechanical processing research. National Institute of Standards and Technology, 1990. http://dx.doi.org/10.6028/nist.ir.3950.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Cluster analysis – Data processing' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography