The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of APPLIED MATHEMATICS AND INFORMATICS
Transactions ID Number: 19-585
Full Name: Dalia Baziuke
Position: Associate Professor
Age: ON
Sex: Female
Address: Herkaus Manto str. 84, LT-92294, Klaipeda
Country: LITHUANIA
Tel: 65045302
Tel prefix: 370
Fax:
E-mail address: dalia.baziukaite@ku.lt
Other E-mails: dalia.baziukaite@gmail.com
Title of the Paper: Cluster quality assessment by the modified Renyi-ClipX algorithm
Authors as they appear in the Paper: Dalia Baziuke, Aleksas Narscius
Email addresses of all the authors: dalia.baziukaite@ku.lt, aleksas.narscius@ku.lt
Number of paper pages: 8
Abstract: This paper presents the modified Renyi-CLIPx clustering algorithm and shows that with this algorithm more accurate groupings can be obtained, it gives higher accuracy rates as well. The combination of Renyi entropy based clustering and CLIP3, CLIP4 rule derivation algorithms is used to discover clusters and create rules to explain them. The algorithm itself contains refinements that are used while improving the goodness of obtained clusters and rules. Results on researching the influence of data discretization and so called negative examples data set to the rule complexity and cluster quality are presented as well.
Keywords: Renyi entropy, Clip3, Clip4, Clustering, Clustering rules, Algorithm
EXTENSION of the file: .doc
Special (Invited) Session: The modified Renyi-ClipX conceptual clustering algorithm
Organizer of the Session: 201-372
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