國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Reverse clusteringformulation, inter...

Owsinski, Jan W.

Reverse clusteringformulation, interpretation and case studies /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Reverse clusteringby Jan W. Owsinski ... [et al.].
其他題名:	formulation, interpretation and case studies /
其他作者:	Owsinski, Jan W.
出版者:	Cham :Springer International Publishing :2021.
面頁冊數:	xvii, 101 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Cluster set theory.
電子資源:	https://doi.org/10.1007/978-3-030-69359-6
ISBN:	9783030693596$q(electronic bk.)

Reverse clusteringformulation, interpretation and case studies /
Reverse clusteringformulation, interpretation and case studies /[electronic resource] :by Jan W. Owsinski ... [et al.]. - Cham :Springer International Publishing :2021. - xvii, 101 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.9571860-949X ;. - Studies in computational intelligence ;v. 216..

The concept of reverse clustering -- Reverse clustering: the essence and the interpretations -- Case studies: an introduction -- The road traffic data -- The chemicals in the natural environment -- Administrative units, Part I -- Administrative units, Part II -- Academic examples -- Summary and conclusions.

This book presents a new perspective on and a new approach to a wide spectrum of situations, related to data analysis, actually, a kind of a new paradigm. Namely, for a given data set and its partition, whose origins may be of any kind, the authors try to reconstruct this partition on the basis of the data set given, using very broadly conceived clustering procedure. The main advantages of this new paradigm concern the substantive aspects of the particular cases considered, mainly in view of the variety of interpretations, which can be assumed in the framework of the paradigm. Due to the novel problem formulation and the flexibility in the interpretations of this problem and its components, the domains, which are encompassed (or at least affected) by the potential use of the paradigm, include cluster analysis, classification, outlier detection, feature selection, and even factor analysis as well as geometry of the data set. The book is useful for all those who look for new, nonconventional approaches to their data analysis problems.

ISBN: 9783030693596$q(electronic bk.)

Standard No.: 10.1007/978-3-030-69359-6doiSubjects--Topical Terms:

773058
Cluster set theory.

LC Class. No.: QA355

Dewey Class. No.: 515

Reverse clusteringformulation, interpretation and case studies /
LDR:02434nmm a2200337 a 4500 001 600563
003 DE-He213
005 20210521120255.0
006 m d
007 cr nn 008maaau
008 211104s2021 sz s 0 eng d
020 $a 9783030693596$q(electronic bk.)
020 $a 9783030693589$q(paper)
024 7 $a 10.1007/978-3-030-69359-6 $2 doi
035 $a 978-3-030-69359-6
040 $a GP $c GP
041 0 $a eng
050 4 $a QA355
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 515 $2 23
090 $a QA355 $b .R452 2021
245 0 0 $a Reverse clustering $h [electronic resource] : $b formulation, interpretation and case studies / $c by Jan W. Owsinski ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xvii, 101 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.957
505 0 $a The concept of reverse clustering -- Reverse clustering: the essence and the interpretations -- Case studies: an introduction -- The road traffic data -- The chemicals in the natural environment -- Administrative units, Part I -- Administrative units, Part II -- Academic examples -- Summary and conclusions.
520 $a This book presents a new perspective on and a new approach to a wide spectrum of situations, related to data analysis, actually, a kind of a new paradigm. Namely, for a given data set and its partition, whose origins may be of any kind, the authors try to reconstruct this partition on the basis of the data set given, using very broadly conceived clustering procedure. The main advantages of this new paradigm concern the substantive aspects of the particular cases considered, mainly in view of the variety of interpretations, which can be assumed in the framework of the paradigm. Due to the novel problem formulation and the flexibility in the interpretations of this problem and its components, the domains, which are encompassed (or at least affected) by the potential use of the paradigm, include cluster analysis, classification, outlier detection, feature selection, and even factor analysis as well as geometry of the data set. The book is useful for all those who look for new, nonconventional approaches to their data analysis problems.
650 0 $a Cluster set theory. $3 773058
650 0 $a Quantitative research. $3 367894
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Data Engineering. $3 839346
650 2 4 $a Artificial Intelligence. $3 212515
700 1 $a Owsinski, Jan W. $3 866715
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Studies in computational intelligence ; $v v. 216. $3 380871
856 4 0 $u https://doi.org/10.1007/978-3-030-69359-6
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)