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 |
| Η περιγραφή δεν είναι διαθέσιμη |