In general, CCC is advantageous in the following cases: 1. if the given data set does not allow for a meaningful, real-valued similarity or dissimilarity relationship, defined for all pairs of entities; 2. if it is more natural to assume that clusters of entities might overlap.
For example, Cohen et al. [ 2] reported that SoftTFIDF generally works the best for the term clustering of entity names, and Okazaki et al. [ 3] reported that the use of a hybrid distance with 0.2 as the optimal threshold was the best setup for the problem of abbreviation-full form clustering.
IPL is considered a homogeneous disease entity, whereas non-IPL type is a heterogeneous cluster of disease entities [ 13, 14].
Primary hepatocellular cancer (HCC) classification systems are based on histopathology and radiology, yet clinical intuition and experience suggest that natural history and disease progression have distinctive clinical features, consistent with a cluster of homogeneous entities within a heterogeneous cohort.
By employing sentiment carriers for cluster of name entities, we can get the sentiment orientation of aspects for text.
As a consequence, we can distinguish two subtypes for each basic type of material entity aggregate: groups of material entities and clusters of material entities (Fig. 6).
Smyte's system includes a dashboard where analysts can surface emerging trends in real-time, as well as conduct manual reviews of individual entities or clusters of related entities and take bulk actions.
The classification of remotely sensed images such as aerial photographs or satellite sensor images for deriving ecosystem-related maps (e.g., land cover, land use, vegetation, soil) is generally based on clustering of spatial entities within a spectral space.
Therefore, it is reasonable to distinguish groups and clusters of material entities.
