5880 search results - page 54 / 1176 » Data Clustering: A Review |
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
A novel unsupervised clustering algorithm called Hyperclique Pattern-KMEANS (HP-KMEANS) is presented. Considering recent success in semisupervised clustering using pair-wise const...
IJUFKS
2007
13 years 7 months ago
2007
Abstract. Resampling methods are among the best approaches to determine the number of clusters in prototype-based clustering. The core idea is that with the right choice for the nu...
CIDM
2007
IEEE
14 years 2 months ago
2007
IEEE
Clustering large data sets with high dimensionality is a challenging data-mining task. This paper presents a framework to perform such a task efficiently. It is based on the notio...
WWW
2010
ACM
13 years 7 months ago
2010
ACM
Sentiment classification aims to automatically predict sentiment polarity (e.g., positive or negative) of users publishing sentiment data (e.g., reviews, blogs). Although traditio...
FUZZIEEE
2007
IEEE
14 years 2 months ago
2007
IEEE
Abstract—In contrast to standard fuzzy clustering, which optimizes a set of prototypes, one for each cluster, this paper studies fuzzy clustering without prototypes. Starting fro...