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Cluster Analysis for Data Mining and System Identification, Abonyi János, Feil Balázs


Âàðèàíòû ïðèîáðåòåíèÿ
Öåíà: 13969.00ð.
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Ñêëàä Àìåðèêà: Åñòü  
Ïðè îôîðìëåíèè çàêàçà äî: 2025-07-28
Îðèåíòèðîâî÷íàÿ äàòà ïîñòàâêè: Àâãóñò-íà÷àëî Ñåíòÿáðÿ
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Àâòîð: Abonyi János, Feil Balázs
Íàçâàíèå:  Cluster Analysis for Data Mining and System Identification
Ïåðåâîä íàçâàíèÿ: Àíàëèç ãðóïïû äëÿ ïîèñêà äàííûõ è èäåíòèôèêàöèè ñèñòåìû
ISBN: 9783764379872
Èçäàòåëüñòâî: Springer
Êëàññèôèêàöèÿ:


ISBN-10: 3764379871
Îáëîæêà/Ôîðìàò: Hardback
Ñòðàíèöû: 328
Âåñ: 0.64 êã.
Äàòà èçäàíèÿ: 22.06.2007
ßçûê: English
Èëëþñòðàöèè: 120 black & white illustrations, 11 black & white
Ðàçìåð: 23.39 x 15.60 x 1.91
×èòàòåëüñêàÿ àóäèòîðèÿ: Professional & vocational
Ññûëêà íà Èçäàòåëüñòâî: Link
Ðåéòèíã:
Ïîñòàâëÿåòñÿ èç: Ãåðìàíèè
Îïèñàíèå: This book presents new approaches to data mining and system identification. Algorithmsthat can be used for the clustering of data have been overviewed. New techniques andtools are presented for the clustering, classification, regression and visualization ofcomplex datasets. Special attention is given to the analysis of historical process data,tailored algorithms are presented for the data driven modeling of dynamical systems,determining the model order of nonlinear input-output black box models, and thesegmentation of multivariate time-series. The main methods and techniques areillustrated through several simulated and real-world applications from data mining andprocess engineering practice.The books is aimed primarily at practitioners, researches, and professionals in statistics,data mining, business intelligence, and systems engineering, but it is also accessible tograduate and undergraduate students in applied mathematics, computer science, electricaland process engineering. Familiarity with the basics of system identification and fuzzysystems is helpful but not required.
Äîïîëíèòåëüíîå îïèñàíèå: Ôîðìàò: 235x165
Èëþñòðàöèè: 120
Êðóã ÷èòàòåëåé: Practitioners, researchers, and professionals in statistics, data mining, business intelligence, and systems engineering; undergraduate and graduate students in applied mathematics, computer science, as well as electrical and process enigneering
Êëþ÷åâûå ñëîâà: Cluster Analysis
Data Mining
ßçûê: eng




Clustering for Data Mining

Àâòîð: Mirkin, Boris
Íàçâàíèå: Clustering for Data Mining
ISBN: 1584885343 ISBN-13(EAN): 9781584885344
Èçäàòåëüñòâî: Taylor&Francis
Ðåéòèíã:
Öåíà: 9186.00 ð.
Íàëè÷èå íà ñêëàäå: Ïîñòàâêà ïîä çàêàç.

Îïèñàíèå: Presents a theory that not only closes gaps in K-Means and Ward methods, but also extends them into areas of interest, such as clustering mixed scale data and incomplete clustering. This work suggests methods for both cluster finding and cluster description, and includes nearly 60 computational examples covering the various stages of clustering.


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