1420 search results - page 120 / 284 » Cluster Ensemble Selection |
103
Voted
ICML
1994
IEEE
15 years 4 months ago
1994
IEEE
With the goal of reducing computational costs without sacrificing accuracy, we describe two algorithms to find sets of prototypes for nearest neighbor classification. Here, the te...
104
Voted
SBBD
2000
15 years 2 months ago
2000
Dimensionalitycurse and dimensionalityreduction are two issues that have retained highinterest for data mining, machine learning, multimedia indexing, and clustering. We present a...
DIS
2008
Springer
15 years 1 months ago
2008
Springer
We consider learning tasks where multiple target variables need to be predicted. Two approaches have been used in this setting: (a) build a separate single-target model for each ta...
107
Voted
EWSN
2008
Springer
16 years 10 days ago
2008
Springer
Clustering is an important mechanism in large multi-hop wireless sensor networks for obtaining scalability, reducing energy consumption and achieving better network performance. Mo...
124
Voted
PAMI
2006
15 years 20 days ago
2006
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...