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  1. Proceedings of the 6th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR '83)
  2. A clustering scheme
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Hardware systems for text information retrieval
Intelligent information systems
Progress report on project information bridge
Evaluation of the 2-Poisson model as a basis for using term frequency data in searching
A study of the overlap among document representations
User interfaces to information systems: choices vs. commands
Transaction log analysis online catalogs
A network organization used for document retrieval
Current practice in the evaluation of multikey search algorithms
An approach to enhancement of statistical survey databases
Some research problems in automatic information retrieval
Artificial intelligence implications for information retrieval
Using discourse analysis for the design of information retrieval interaction mechanisms
Natural language grammars for an information system
A discrimination gain hypothesis
A clustering scheme
End user touch searching for cancer therapy literature: a rule based approach
The user view of file management: recommendations for a user interface based on analysis of UNIX file system use
RESEDA, an Information Retrieval system using artificial intelligence and knowledge representation techniques
Combinatorial compression and partitioning of large dictionaries: theory and experiments
Knowledge-Based Report Generation: a technique for automatically generating natural language reports from databases
Information retrieval: new directions: old solutions
Applications for information retrieval techniques in the office
Information retrieval using a transportable natural language interface
The normalized recall and related measures
End user behavior on an online information retrieval system: a computer monitoring study
Derived search keys for bibliographic retrieval
Open problems in information retrieval

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A clustering scheme

Content Provider ACM Digital Library
Author Can, Fazli Ozkarahan, Esen A.
Abstract In this paper, a new clustering algorithm has been described. The algorithm proposed determines both the number of clusters in a collection, and the number of elements in each cluster before beginning the final clustering process. The complexity assessment of the algorithm and the implementation issues are also emphasized.
Starting Page 115
Ending Page 121
Page Count 7
File Format PDF
ISBN 0897911075
DOI 10.1145/511793.511810
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 1983-06-08
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Document retrieval Document clustering Analysis of algorithms
Content Type Text
Resource Type Article
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