Matches in SemOpenAlex for { <https://semopenalex.org/work/W2893321870> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W2893321870 abstract "Grouping the data according to their mutual similarities is called clustering which is an unsupervised technique. We have introduced an improved version of Support Vector Clustering (SVC) technique with automatic parameter tuning in this paper. Using Gaussian RBF kernel, the data points are mapped into a higher dimensional feature space. The objective function becomes to find the minimal enclosing sphere for all data points in the kernel space. This sphere, when mapped back to the data space, separates into several components with irregular boundaries, enclosing separate clusters of points. There are two tuning parameters in SVC, soft margin penalty constant and width of the Gaussian kernel which are varied and used to attain smooth cluster boundaries. It is difficult to accurately select both of these parameters manually using k-fold Cross Validation. So, we have employed an optimization technique to find out RBF sigma parameter tuning which was originally proposed by Cheng Hsuan Li et.al for Support Vector Machines (SVM). The optimal kernel RBF sigma value for SVC is calculated which is more accurate and computationally efficient and accurate compared to k-fold cross validation method. We have performed experiments on artificial and public datasets from UCI public repository. Promising outcome results show that this technique is effective in kernel parameter optimization for cluster analysis. Keywords - Support Vector Machine, RBF kernel, cross validation, unsupervised learning" @default.
- W2893321870 created "2018-10-05" @default.
- W2893321870 creator A5040681967 @default.
- W2893321870 creator A5044162723 @default.
- W2893321870 date "2016-01-01" @default.
- W2893321870 modified "2023-10-17" @default.
- W2893321870 title "Support Vector Clustering with RBF Gaussian Kernel Parameter Optimization" @default.
- W2893321870 doi "https://doi.org/10.26483/ijarcs.v7i6.2786" @default.
- W2893321870 hasPublicationYear "2016" @default.
- W2893321870 type Work @default.
- W2893321870 sameAs 2893321870 @default.
- W2893321870 citedByCount "0" @default.
- W2893321870 crossrefType "journal-article" @default.
- W2893321870 hasAuthorship W2893321870A5040681967 @default.
- W2893321870 hasAuthorship W2893321870A5044162723 @default.
- W2893321870 hasConcept C114614502 @default.
- W2893321870 hasConcept C121332964 @default.
- W2893321870 hasConcept C122280245 @default.
- W2893321870 hasConcept C12267149 @default.
- W2893321870 hasConcept C153180895 @default.
- W2893321870 hasConcept C154945302 @default.
- W2893321870 hasConcept C160446489 @default.
- W2893321870 hasConcept C163716315 @default.
- W2893321870 hasConcept C21080849 @default.
- W2893321870 hasConcept C33923547 @default.
- W2893321870 hasConcept C41008148 @default.
- W2893321870 hasConcept C62520636 @default.
- W2893321870 hasConcept C7218915 @default.
- W2893321870 hasConcept C73555534 @default.
- W2893321870 hasConcept C74193536 @default.
- W2893321870 hasConcept C75866337 @default.
- W2893321870 hasConcept C83665646 @default.
- W2893321870 hasConceptScore W2893321870C114614502 @default.
- W2893321870 hasConceptScore W2893321870C121332964 @default.
- W2893321870 hasConceptScore W2893321870C122280245 @default.
- W2893321870 hasConceptScore W2893321870C12267149 @default.
- W2893321870 hasConceptScore W2893321870C153180895 @default.
- W2893321870 hasConceptScore W2893321870C154945302 @default.
- W2893321870 hasConceptScore W2893321870C160446489 @default.
- W2893321870 hasConceptScore W2893321870C163716315 @default.
- W2893321870 hasConceptScore W2893321870C21080849 @default.
- W2893321870 hasConceptScore W2893321870C33923547 @default.
- W2893321870 hasConceptScore W2893321870C41008148 @default.
- W2893321870 hasConceptScore W2893321870C62520636 @default.
- W2893321870 hasConceptScore W2893321870C7218915 @default.
- W2893321870 hasConceptScore W2893321870C73555534 @default.
- W2893321870 hasConceptScore W2893321870C74193536 @default.
- W2893321870 hasConceptScore W2893321870C75866337 @default.
- W2893321870 hasConceptScore W2893321870C83665646 @default.
- W2893321870 hasIssue "6" @default.
- W2893321870 hasLocation W28933218701 @default.
- W2893321870 hasOpenAccess W2893321870 @default.
- W2893321870 hasPrimaryLocation W28933218701 @default.
- W2893321870 hasRelatedWork W1600473671 @default.
- W2893321870 hasRelatedWork W1965575648 @default.
- W2893321870 hasRelatedWork W1966815444 @default.
- W2893321870 hasRelatedWork W1967223302 @default.
- W2893321870 hasRelatedWork W2107973353 @default.
- W2893321870 hasRelatedWork W2113448010 @default.
- W2893321870 hasRelatedWork W2244573480 @default.
- W2893321870 hasRelatedWork W2360976334 @default.
- W2893321870 hasRelatedWork W2369052392 @default.
- W2893321870 hasRelatedWork W2374040847 @default.
- W2893321870 hasRelatedWork W2374774807 @default.
- W2893321870 hasRelatedWork W2498715367 @default.
- W2893321870 hasRelatedWork W2560771718 @default.
- W2893321870 hasRelatedWork W2741770062 @default.
- W2893321870 hasRelatedWork W2790949175 @default.
- W2893321870 hasRelatedWork W2913221429 @default.
- W2893321870 hasRelatedWork W2931403197 @default.
- W2893321870 hasRelatedWork W2950772912 @default.
- W2893321870 hasRelatedWork W2997168546 @default.
- W2893321870 hasRelatedWork W2965045760 @default.
- W2893321870 hasVolume "7" @default.
- W2893321870 isParatext "false" @default.
- W2893321870 isRetracted "false" @default.
- W2893321870 magId "2893321870" @default.
- W2893321870 workType "article" @default.