693 search results - page 2 / 139 » Outlier-aware robust clustering |
GECCO
2008
Springer
13 years 6 months ago
2008
Springer
Extracting natural groups of the unlabeled data is known as clustering. To improve the stability and robustness of the clustering outputs, clustering ensembles have emerged recent...
TKDD
2008
13 years 4 months ago
2008
NCI
2004
13 years 6 months ago
2004
This paper presents a new semi-competitive learning paradigm named Competitive and Cooperative Learning (CCL), in which seed points not only compete each other for updating to ada...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Clustering is a basic task in a variety of machine learning applications. Partitioning a set of input vectors into compact, wellseparated subsets can be severely affected by the p...
IJIT
2004
13 years 6 months ago
2004
In the last decades, a number of robust fuzzy clustering algorithms have been proposed to partition data sets affected by noise and outliers. Robust fuzzy C-means (robust-FCM) is c...