The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 29-648
Full Name: Alexandra Cernian
Position: Ph.D. Candidate
Age: ON
Sex: Female
Address: str. Pecineaga, nr. 4, bl. 23A, apt. 2, sector 5, Bucharest
Country: ROMANIA
Tel: +40744632031
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E-mail address: alexcernian@yahoo.com
Other E-mails: alexandra.cernian@aii.pub.ro
Title of the Paper: A New Method for Clustering Heterogeneous Data: Clustering by Compression
Authors as they appear in the Paper: Dorin Carstoiu, Alexandra Cernian, Valentin Sgarciu, Adriana Olteanu
Email addresses of all the authors:
Number of paper pages: 10
Abstract: Nowadays, we have to deal with a large quantity of unstructured data, produced by a number of sources. For example, clustering web pages is essential to getting structured information in response to user queries. In this paper, we intend to test the results of a new clustering technique – clustering by compression – when applied to heterogeneous sets of data. The clustering by compression procedure is based on a parameter-free, universal, similarity distance, the normalized compression distance or NCD, computed from the lengths of compressed data files (singly and in pair-wise concatenation). Compression algorithms allow defining a similarity measure based on the degree of common information, whereas clustering methods allow clustering similar data without any previous knowledge.
Keywords: Clustering, Heterogeneous data, Clustering by compression, Normalized Compression Distance (NCD), FScore
EXTENSION of the file: .pdf
Special (Invited) Session: Clustering Heterogeneous Data Using Clustering by Compression
Organizer of the Session: 620-211
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