Spectral clustering
S Wierzchoń, M Kłopotek, ST Wierzchoń… - Modern Algorithms of …, 2018 - Springer
This chapter discusses clustering methods based on similarities between pairs of objects.
Such a knowledge does not imply that the entire objects are embedded in a metric space …
Such a knowledge does not imply that the entire objects are embedded in a metric space …
Crowd-guided entity matching with consolidated textual data
Entity matching (EM) identifies records referring to the same entity within or across
databases. Existing methods using structured attribute values (such as digital, date or short …
databases. Existing methods using structured attribute values (such as digital, date or short …
CTextEM: Using Consolidated Textual Data for Entity Matching
Entity Matching (EM) identifies records referring to the same entity within or across
databases. Existing methods using structured attribute values (such as digital, date or short …
databases. Existing methods using structured attribute values (such as digital, date or short …
[PDF][PDF] STRUCTURAL TOPIC MINING IN WEB COLLECTIONS
This paper introduces structural topic mining: an approach for discovering and describing
thematically related document groups in large document collections. A collection is viewed …
thematically related document groups in large document collections. A collection is viewed …