2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR) 2017
DOI: 10.1109/icdar.2017.180
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PhyloParser: A Hybrid Algorithm for Extracting Phylogenies from Dendrograms

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Cited by 4 publications
(3 citation statements)
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“…This human interpretation is limited to the bigger picture homogeneity of clusters. A computational method for interpreting the dendrogram may be able to parse out further details in the finer structures of the dendrogram [ 77 ], but this approach may be debatable. Finally, this research only uses a hierarchical clustering algorithm, any other algorithms like K-means [ 78 ], DBSCAN [ 79 ], Gaussian Mixture [ 80 ], etc.…”
Section: Resultsmentioning
confidence: 99%
“…This human interpretation is limited to the bigger picture homogeneity of clusters. A computational method for interpreting the dendrogram may be able to parse out further details in the finer structures of the dendrogram [ 77 ], but this approach may be debatable. Finally, this research only uses a hierarchical clustering algorithm, any other algorithms like K-means [ 78 ], DBSCAN [ 79 ], Gaussian Mixture [ 80 ], etc.…”
Section: Resultsmentioning
confidence: 99%
“…A number of studies have focused on mining the scienti c gures. Chart classi cation was well-studied by Futrelle et al [15], Shao et al [39], and Lee et al [29]. Recent studies have been focusing on the extraction of quantitative data from scienti c visualizations, including line charts [31,40], bar charts [3], and tables [13].…”
Section: Related Workmentioning
confidence: 99%
“…We classify the gures in each cluster to understand the visual composition of each cluster. We use the convolutional neural network classi er in [29] to categorize gures into ve categories:…”
Section: Analyzing Clustersmentioning
confidence: 99%