Dissertation/Thesis
Comparison of Various Clustering Algorithms
| Τίτλος: | Comparison of Various Clustering Algorithms |
|---|---|
| Συνεισφορές: | The Pennsylvania State University CiteSeerX Archives |
| Πηγή: | http://ijcsit.com/docs/Volume+5/vol5issue03/ijcsit2014050387.pdf. |
| Συλλογή: | CiteSeerX |
| Θεματικοί όροι: | Farthest First algorithm, Expectation Maximization algorithm, Density based algorithm, Hierarchical based algorithm, Cobweb algorithm, WEKA tool |
| Περιγραφή: | – A comparative study of clustering algorithms across three different datasets is performed. The algorithms under investigation are partitioning based i.e K-means, Farthest First, Expectation maximization and Non Partitioning based i.e Density based, Hierarchical based and Cobweb. All these algorithms are compared according to the factors size of the dataset, number of clusters and time taken to form clusters. Performance of clustering algorithms are compared using clustering tool WEKA(version 3.7.10). |
| Τύπος εγγράφου: | Thesis |
| Περιγραφή αρχείου: | application/pdf |
| Γλώσσα: | English |
| Relation: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.661.4971; http://ijcsit.com/docs/Volume+5/vol5issue03/ijcsit2014050387.pdf |
| Διαθεσιμότητα: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.661.4971 http://ijcsit.com/docs/Volume+5/vol5issue03/ijcsit2014050387.pdf |
| Rights: | Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
| Αριθμός Καταχώρησης: | edsbas.79520D77 |
| Βάση Δεδομένων: | BASE |
| FullText | Text: Availability: 0 CustomLinks: – Url: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.661.4971# Name: EDS - BASE (ns324271) Category: fullText Text: View record from BASE |
|---|---|
| Header | DbId: edsbas DbLabel: BASE An: edsbas.79520D77 RelevancyScore: 672 AccessLevel: 3 PubType: Dissertation/Thesis PubTypeId: unknown PreciseRelevancyScore: 671.999938964844 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Comparison of Various Clustering Algorithms – Name: Author Label: Contributors Group: Au Data: The Pennsylvania State University CiteSeerX Archives – Name: TitleSource Label: Source Group: Src Data: <i>http://ijcsit.com/docs/Volume+5/vol5issue03/ijcsit2014050387.pdf</i>. – Name: Subset Label: Collection Group: HoldingsInfo Data: CiteSeerX – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Farthest+First+algorithm%22">Farthest First algorithm</searchLink><br /><searchLink fieldCode="DE" term="%22Expectation+Maximization+algorithm%22">Expectation Maximization algorithm</searchLink><br /><searchLink fieldCode="DE" term="%22Density+based+algorithm%22">Density based algorithm</searchLink><br /><searchLink fieldCode="DE" term="%22Hierarchical+based+algorithm%22">Hierarchical based algorithm</searchLink><br /><searchLink fieldCode="DE" term="%22Cobweb+algorithm%22">Cobweb algorithm</searchLink><br /><searchLink fieldCode="DE" term="%22WEKA+tool%22">WEKA tool</searchLink> – Name: Abstract Label: Description Group: Ab Data: – A comparative study of clustering algorithms across three different datasets is performed. The algorithms under investigation are partitioning based i.e K-means, Farthest First, Expectation maximization and Non Partitioning based i.e Density based, Hierarchical based and Cobweb. All these algorithms are compared according to the factors size of the dataset, number of clusters and time taken to form clusters. Performance of clustering algorithms are compared using clustering tool WEKA(version 3.7.10). – Name: TypeDocument Label: Document Type Group: TypDoc Data: Thesis – Name: Format Label: File Description Group: SrcInfo Data: application/pdf – Name: Language Label: Language Group: Lang Data: English – Name: NoteTitleSource Label: Relation Group: SrcInfo Data: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.661.4971; http://ijcsit.com/docs/Volume+5/vol5issue03/ijcsit2014050387.pdf – Name: URL Label: Availability Group: URL Data: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.661.4971<br />http://ijcsit.com/docs/Volume+5/vol5issue03/ijcsit2014050387.pdf – Name: Copyright Label: Rights Group: Cpyrght Data: Metadata may be used without restrictions as long as the oai identifier remains attached to it. – Name: AN Label: Accession Number Group: ID Data: edsbas.79520D77 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.79520D77 |
| RecordInfo | BibRecord: BibEntity: Languages: – Text: English Subjects: – SubjectFull: Farthest First algorithm Type: general – SubjectFull: Expectation Maximization algorithm Type: general – SubjectFull: Density based algorithm Type: general – SubjectFull: Hierarchical based algorithm Type: general – SubjectFull: Cobweb algorithm Type: general – SubjectFull: WEKA tool Type: general Titles: – TitleFull: Comparison of Various Clustering Algorithms Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: The Pennsylvania State University CiteSeerX Archives IsPartOfRelationships: – BibEntity: Identifiers: – Type: issn-locals Value: edsbas – Type: issn-locals Value: edsbas.oa Titles: – TitleFull: http://ijcsit.com/docs/Volume+5/vol5issue03/ijcsit2014050387.pdf Type: main |
| ResultId | 1 |