Visualizing results of attribute based HAC analysis
| Thesis title in Czech: | Visualizing results of attribute based HAC analysis |
|---|---|
| Thesis title in English: | Visualizing results of attribute based HAC analysis |
| Key words: | Shluková analýza, HAC analýza, rámec SDA, dendrogram, velmi velké datové soubory |
| English key words: | Clusteing, HAC analysis, SDA framework, dendrogram, very large data sets |
| Academic year of topic announcement: | 2011/2012 |
| Thesis type: | diploma thesis |
| Thesis language: | angličtina |
| Department: | Department of Probability and Mathematical Statistics (32-KPMS) |
| Supervisor: | prof. RNDr. Jaromír Antoch, CSc. |
| Author: | hidden - assigned and confirmed by the Study Dept. |
| Date of registration: | 03.11.2011 |
| Date of assignment: | 03.11.2011 |
| Confirmed by Study dept. on: | 18.01.2012 |
| Guidelines |
| When using Hierarchical agglomerative clustering (HAC) in environment with a broad number of entities (>2000) researchers are often struggling with the result presentation.
Author of the thesis is expected to examine methods of cluster chracterization, apply cluster characterization on the suitable data set and to propose, analyze and describe possible ways of the characterization visualization. Furthermore to implement application prototype with at least one interactive mean of cluster characterization visualization that will allow presentation of the HAC chracterization results to users without deep knowledge of the HAC. |
| References |
| [1] Jan Šimek. Attribute Based Analysis of Hierarchical Clusters. Master Thesis, Vrije
Universiteit Amsterdam, Netherlands, 2010. [2] Handbook of Data Visualization. Springer Series: Springer Handbooks of Computational Statistics, Chen Chun-houh; Unwin Antony (Eds.), Heidelberg, 2008. [3] Unwin, Antony, Theus, Martin, Hofmann, Heike Graphics of Large Datasets: Visualizing a Million. Series: Statistics and Computing, Heidelberg, 2006. [4] Projekty Mondrian, Seurat a Klimt na Univerzite Augsburg. http://seurat.r-forge.r-project.org/ http://rosuda.org/Mondrian/ http://rosuda.org/Klimt/ |