Sciweavers

1971 search results - page 113 / 395
» A clustering method that uses lossy aggregation of data
Sort
View
ITIIS
2010
151views more  ITIIS 2010»
13 years 7 months ago
Practical Data Transmission in Cluster-Based Sensor Networks
Data routing in wireless sensor networks must be energy-efficient because tiny sensor nodes have limited power. A cluster-based hierarchical routing is known to be more efficient ...
Dae Young Kim, Jinsung Cho, Byeong-Soo Jeong
PKDD
2010
Springer
235views Data Mining» more  PKDD 2010»
13 years 7 months ago
Online Structural Graph Clustering Using Frequent Subgraph Mining
The goal of graph clustering is to partition objects in a graph database into different clusters based on various criteria such as vertex connectivity, neighborhood similarity or t...
Madeleine Seeland, Tobias Girschick, Fabian Buchwa...
ISPASS
2006
IEEE
14 years 3 months ago
Comparing multinomial and k-means clustering for SimPoint
SimPoint is a technique used to pick what parts of the program’s execution to simulate in order to have a complete picture of execution. SimPoint uses data clustering algorithms...
Greg Hamerly, Erez Perelman, Brad Calder
SETN
2004
Springer
14 years 2 months ago
Incremental Mixture Learning for Clustering Discrete Data
Abstract. This paper elaborates on an efficient approach for clustering discrete data by incrementally building multinomial mixture models through likelihood maximization using the...
Konstantinos Blekas, Aristidis Likas
SDM
2004
SIAM
141views Data Mining» more  SDM 2004»
13 years 10 months ago
Visually Mining through Cluster Hierarchies
Similarity search in database systems is becoming an increasingly important task in modern application domains such as multimedia, molecular biology, medical imaging, computer aid...
Stefan Brecheisen, Hans-Peter Kriegel, Peer Kr&oum...