504 search results - page 13 / 101 » Clustering Item Data Sets with Association-Taxonomy Similari... |
JMLR
2006
13 years 7 months ago
2006
Spectral clustering refers to a class of techniques which rely on the eigenstructure of a similarity matrix to partition points into disjoint clusters, with points in the same clu...
KDD
2002
ACM
14 years 7 months ago
2002
ACM
We propose a new clustering algorithm, called SyMP, which is based on synchronization of pulse-coupled oscillators. SyMP represents each data point by an Integrate-and-Fire oscill...
KDD
2002
ACM
14 years 7 months ago
2002
ACM
Part of the process of data integration is determining which sets of identifiers refer to the same real-world entities. In integrating databases found on the Web or obtained by us...
ICANN
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. The Self-Organising Map (SOM) is a well-known neuralnetwork model that has successfully been used as a data analysis tool in many different domains. The SOM provides a to...
SIGIR
2002
ACM
13 years 7 months ago
2002
ACM
Document clustering is useful in many information retrieval tasks: document browsing, organization and viewing of retrieval results, generation of Yahoo-like hierarchies of docume...