The effectiveness and efficiency of agglomerative hierarchic clustering in document retrieval
The effectiveness and efficiency of agglomerative hierarchic clustering in document retrieval
Optimization of inverted vector searches
SIGIR '85 Proceedings of the 8th annual international ACM SIGIR conference on Research and development in information retrieval
The SMART Retrieval System—Experiments in Automatic Document Processing
The SMART Retrieval System—Experiments in Automatic Document Processing
Concepts and effectiveness of the cover-coefficient-based clustering methodology for text databases
ACM Transactions on Database Systems (TODS)
Incremental clustering for dynamic information processing
ACM Transactions on Information Systems (TOIS)
Query processing and inverted indices in shared: nothing text document information retrieval systems
The VLDB Journal — The International Journal on Very Large Data Bases - Parallelism in database systems
Efficiency and effectiveness of query processing in cluster-based retrieval
Information Systems
Inverted files for text search engines
ACM Computing Surveys (CSUR)
Incremental cluster-based retrieval using compressed cluster-skipping inverted files
ACM Transactions on Information Systems (TOIS)
IRSG'98 Proceedings of the 20th Annual BCS-IRSG conference on Information Retrieval Research
Document clustering for mediated information access
IRSG'99 Proceedings of the 21st Annual BCS-IRSG conference on Information Retrieval Research
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The processing time and disk space requirements of an inverted index and top-down cluster search are compared. The cluster search is shown to use both more time and more disk space, mostly due to the large number of cluster centroids needed by the search. When shorter centroids are used, the efficiency of the cluster search improves, but the inverted index search remains more efficient.