Name
Abstract | ||
|---|---|---|
Recent years have seen an increasing interest in clustering data comprising multiple domains or modalities, such as categorical, numerical and transactional, etc. This kind of data is sometimes found within the context of clustering multiview, heterogeneous, or multimodal data. Traditionally, different types of attributes or domains have been handled by first combining them into one format (possibly using some type of conversion) and then following with a traditional clustering algorithm, or computing a combined distance matrix that takes into account the distance values for each domain, then following with a relational or graph clustering approach. In other cases where data consists of multiple views, multiview clustering has been used to cluster the data. In this paper, we review the existing approaches such as multiview clustering and discuss several additional approaches that can be harnessed for the purpose of clustering heterogeneous data once they are adapted for this purpose. The additional approaches include ensemble clustering, collaborative clustering and semi-supervised clustering. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/LA-WEB.2012.27 | LA-WEB |
Keywords | Field | DocType |
clustering multiview,heterogeneous data,pattern clustering,graph clustering approach,semisupervised clustering,learning (artificial intelligence),traditional clustering algorithm,ssl,multiview clustering,heterogeneous data sets,collaborative clustering,clustering data,semi-supervised clustering,ensemble clustering,heterogeneous data set,data clustering,multimodal data,combined distance matrix,additional approach,clustering heterogeneous data sets,clustering,learning artificial intelligence | Hierarchical clustering,Fuzzy clustering,Canopy clustering algorithm,Data mining,CURE data clustering algorithm,Data stream clustering,Correlation clustering,Computer science,Artificial intelligence,Cluster analysis,Machine learning,Single-linkage clustering | Conference |
ISBN | Citations | PageRank |
978-1-4673-4473-9 | 4 | 0.43 |
References | Authors | |
18 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Artur Abdullin | 1 | 10 | 1.88 |
| Olfa Nasraoui | 2 | 1515 | 164.53 |