SPECTRAL CLUSTERING USING SPIRAL DYNAMICS OPTIMIZATION AND ITS APPLICATION TO DNA MICROARRAY DATA
There are many methods that can be used for clustering. K-means is one of the most commonly used method. Using K-means in clustering depends on the selection of the initial cluster centers that could be stuck on a non optimal solution. Spiral dynamics optimization is metaheuristics methods used to f...
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id-itb.:230072017-11-29T07:28:41ZSPECTRAL CLUSTERING USING SPIRAL DYNAMICS OPTIMIZATION AND ITS APPLICATION TO DNA MICROARRAY DATA YANTI , MAULIDA Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/23007 There are many methods that can be used for clustering. K-means is one of the most commonly used method. Using K-means in clustering depends on the selection of the initial cluster centers that could be stuck on a non optimal solution. Spiral dynamics optimization is metaheuristics methods used to find a solution that near <br /> <br /> optimum. Spiral clustering is constructed using this methods. Spectral clustering closely related to eigenvectors also discussed for data clustering. This method is derived based on Ncut and more powerful than 2 methods before. Besides that, the meaning of the second and third eigenvector related to clustering is also discussed. In the end, these methods are applied to the DNA microarray data. text |
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There are many methods that can be used for clustering. K-means is one of the most commonly used method. Using K-means in clustering depends on the selection of the initial cluster centers that could be stuck on a non optimal solution. Spiral dynamics optimization is metaheuristics methods used to find a solution that near <br />
<br />
optimum. Spiral clustering is constructed using this methods. Spectral clustering closely related to eigenvectors also discussed for data clustering. This method is derived based on Ncut and more powerful than 2 methods before. Besides that, the meaning of the second and third eigenvector related to clustering is also discussed. In the end, these methods are applied to the DNA microarray data. |
| format |
Theses |
| author |
YANTI , MAULIDA |
| spellingShingle |
YANTI , MAULIDA SPECTRAL CLUSTERING USING SPIRAL DYNAMICS OPTIMIZATION AND ITS APPLICATION TO DNA MICROARRAY DATA |
| author_facet |
YANTI , MAULIDA |
| author_sort |
YANTI , MAULIDA |
| title |
SPECTRAL CLUSTERING USING SPIRAL DYNAMICS OPTIMIZATION AND ITS APPLICATION TO DNA MICROARRAY DATA |
| title_short |
SPECTRAL CLUSTERING USING SPIRAL DYNAMICS OPTIMIZATION AND ITS APPLICATION TO DNA MICROARRAY DATA |
| title_full |
SPECTRAL CLUSTERING USING SPIRAL DYNAMICS OPTIMIZATION AND ITS APPLICATION TO DNA MICROARRAY DATA |
| title_fullStr |
SPECTRAL CLUSTERING USING SPIRAL DYNAMICS OPTIMIZATION AND ITS APPLICATION TO DNA MICROARRAY DATA |
| title_full_unstemmed |
SPECTRAL CLUSTERING USING SPIRAL DYNAMICS OPTIMIZATION AND ITS APPLICATION TO DNA MICROARRAY DATA |
| title_sort |
spectral clustering using spiral dynamics optimization and its application to dna microarray data |
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https://digilib.itb.ac.id/gdl/view/23007 |
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