Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Slawomir T. Wierzchon"'
Autor:
Slawomir T. Wierzchon
Publikováno v:
Journal of Computer Science and Technology, Vol 1, Iss 03, Pp 14 p.-14 p. (2000)
The paper provides a brief introduction into a relatively new discipline: artificial immune systems (AIS). These are computer systems exploiting the natural immune system (or NIS for brevity) metaphor: protect an organism against invaders. Hence, a n
Externí odkaz:
https://doaj.org/article/88e1578bc4b34395abb83a901a28dee7
Akademický článek
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Publikováno v:
CEC
In this paper we make a comparison of two NMF based techniques of dataset characterization: clustering and hulling. The characteristics of a dataset should be understood as describing the content of a data set through several characteristic represent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93cabd2354eac682953c5942d3c339ad
https://doi.org/10.1109/cec45853.2021.9504734
https://doi.org/10.1109/cec45853.2021.9504734
This book focuses mainly on the usages of three key technologies: IoT, big data, and AI for various day to day applications. Further, it explores the possibilities of future research based on the usages of latest information systems.This book explore
This book features selected research papers presented at the Fourth International Conference on Computing, Communications, and Cyber-Security (IC4S 2022), organized in Ghaziabad India, during October 21–22, 2022. The conference was hosted at KEC Gh
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783030491604
AIAI (1)
AIAI (1)
We present a novel justification why k-means clusters should be (hyper)ball-shaped ones. We show that the clusters must be ball-shaped to attain motion-consistency. If clusters are ball-shaped, one can derive conditions under which two clusters attai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d825b5e5c328b68f7acc13a9112f10ce
https://doi.org/10.1007/978-3-030-49161-1_10
https://doi.org/10.1007/978-3-030-49161-1_10
Publikováno v:
Computer Information Systems and Industrial Management ISBN: 9783030476786
CISIM
CISIM
The paper investigates several notions of graph Laplacians and graph kernels from the perspective of understanding the graph clustering via the graph embedding into an Euclidean space. We propose hereby a unified view of spectral graph clustering and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b23f7745ad3297ef01437caa3f0e520
https://doi.org/10.1007/978-3-030-47679-3_40
https://doi.org/10.1007/978-3-030-47679-3_40
Publikováno v:
International Journal of Applied Mathematics and Computer Science, Vol 28, Iss 4, Pp 771-786 (2018)
The paper presents a novel spectral algorithm EVSA (eigenvector structure analysis), which uses eigenvalues and eigenvectors of the adjacency matrix in order to discover clusters. Based on matrix perturbation theory and properties of graph spectra we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::858bfdff8b774081cbc926184e0a43eb
https://doaj.org/article/b41763064aa74293b6c45056446fad5f
https://doaj.org/article/b41763064aa74293b6c45056446fad5f
This book constitutes the refereed proceedings of the Fourth International Conference on Futuristic Trends in Network and Communication Technologies, FTNCT 2021. The prime aim of the conference is to invite researchers from different domains of netwo
Autor:
Pradeep Kumar Singh, Sławomir T. Wierzchoń, Sudeep Tanwar, Joel J. P. C. Rodrigues, Maria Ganzha
This book features selected research papers presented at the Third International Conference on Computing, Communications, and Cyber-Security (IC4S 2021), organized in Krishna Engineering College (KEC), Ghaziabad, India, along with Academic Associates