Subspace Clustering of Categorical and Numerical Data With an Unknown Number of Clusters
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2017.2728138
Abstract: In clustering analysis, data attributes may have different contributions to the detection of various clusters. To solve this problem, the subspace clustering technique has been developed, which aims at grouping the data objects into clusters… read more here.
Keywords: number clusters; subspace clustering; numerical categorical; subspace ... See more keywords
Evaluating Data‐type Heterogeneity in Interactive Visual Analyses with Parallel Axes
Sign Up to like & getrecommendations! Published in 2022 at "Computer Graphics Forum"
DOI: 10.1111/cgf.14438
Abstract: The application of parallel axes for the interactive visual analysis of multidimensional data is a widely used concept. While multidimensional data sets are commonly heterogeneous in nature, i.e. data items contain both numerical and categorical… read more here.
Keywords: interactive visual; numerical categorical; parallel coordinates; evaluating data ... See more keywords