Annual review of information science and technology, vol. 22
Algorithms for clustering data
Algorithms for clustering data
A study of retrospective and on-line event detection
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
On-line new event detection and tracking
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Web document clustering: a feasibility demonstration
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
An investigation of linguistic features and clustering algorithms for topical document clustering
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Concept decompositions for large sparse text data using clustering
Machine Learning
Early measurements of a cluster-based architecture for P2P systems
IMW '01 Proceedings of the 1st ACM SIGCOMM Workshop on Internet Measurement
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
On-Line New Event Detection using Single Pass Clustering TITLE2:
On-Line New Event Detection using Single Pass Clustering TITLE2:
Incremental Document Clustering Using Cluster Similarity Histograms
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
An architecture for information retrieval over semi-collaborating Peer-to-Peer networks
Proceedings of the 2004 ACM symposium on Applied computing
Interactive Information Retrieval Using Clustering and Spatial Proximity
User Modeling and User-Adapted Interaction
Story link detection and new event detection are asymmetric
NAACL-Short '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume of the Proceedings of HLT-NAACL 2003--short papers - Volume 2
Single-pass clustering for peer-to-peer information retrieval: the effect of document ordering
InfoScale '06 Proceedings of the 1st international conference on Scalable information systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dynamic stopwording for story link detection
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Topic detection and tracking with spatio-temporal evidence
ECIR'03 Proceedings of the 25th European conference on IR research
An Aging Theory for Event Life-Cycle Modeling
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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Due to recent advances in technology, online clustering has emerged as a challenging and interesting problem, with applications such as peer-to-peer information retrieval, and topic detection and tracking. Single-pass clustering is particularly one of the popular methods used in this field. While significant work has been done on to perform this clustering algorithm, it has not been studied in a reduced dimension space, typically in online processing scenarios. In this paper, we discuss previous work focusing on single-pass improvement, and then present a new single-pass clustering algorithm, called OSPDM (On-line Single-Pass clustering based on Diffusion Map), based on mapping the data into low-dimensional feature space.