✦ LIBER ✦

Interval Set Clustering of Web Users with RoughK-Means

✍ Scribed by Pawan Lingras; Chad West

Book ID: 111589449
Publisher: Springer US
Year: 2004
Tongue: English
Weight: 89 KB
Volume: 23
Category: Article
ISSN: 0925-9902
DOI: 10.1023/b:jiis.0000029668.88665.1a

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Designing evolving user profile in e-CRM

Designing evolving user profile in e-CRM with dynamic clustering of Web documents

✍ Iraj Mahdavi; Namjae Cho; Babak Shirazi; Navid Sahebjamnia 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 795 KB

Fast, fuzzy c-means clustering of data s

Fast, fuzzy c-means clustering of data sets with many features

✍ Bjørn K. Alsberg 📂 Article 📅 1995 🏛 John Wiley and Sons 🌐 English ⚖ 611 KB

A fuzzy c-means clustering algorithm is presented which is much faster than the traditional algorithm for data sets in which the number of features is significantly larger than the number of feature vectors. The algorithm is constructed by utilizing the covariance structure of feature vectors and cl