The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Cluster Analysis Using Rough Clustering and k-Means Clustering
Abstract
Cluster analysis is a fundamental data reduction technique used in the physical and social sciences. The technique is of interest to managers in information science because of its potential use in identifying user needs though segmenting users such as Web site visitors. In addition, the theory of rough sets is the subject of intense interest in computational intelligence research. The extension of this theory into rough clustering provides an important and potentially useful addition to the range of cluster analysis techniques available to the manager.
Related Content
Tereza Raquel Merlo, Nayana Madali M. Pampapura, Jason M. Merlo.
© 2024.
14 pages.
|
Kris Swen Helge.
© 2024.
9 pages.
|
Ahmad Tasnim Siddiqui, Gulshaira Banu Jahangeer, Amjath Fareeth Basha.
© 2024.
12 pages.
|
Jennie Lee Khun.
© 2024.
19 pages.
|
Tereza Raquel Merlo.
© 2024.
19 pages.
|
Akash Bag, Paridhi Sharma, Pranjal Khare, Souvik Roy.
© 2024.
31 pages.
|
Akash Bag, Upasana Khattri, Aditya Agrawal, Souvik Roy.
© 2024.
28 pages.
|
|
|