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» Algorithms for Clustering Data
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SODA
2001
ACM
147views Algorithms» more  SODA 2001»
13 years 9 months ago
Sublinear time approximate clustering
Clustering is of central importance in a number of disciplines including Machine Learning, Statistics, and Data Mining. This paper has two foci: 1 It describes how existing algori...
Nina Mishra, Daniel Oblinger, Leonard Pitt
CORR
2007
Springer
132views Education» more  CORR 2007»
13 years 8 months ago
Fast Algorithm and Implementation of Dissimilarity Self-Organizing Maps
In many real-world applications, data cannot be accurately represented by vectors. In those situations, one possible solution is to rely on dissimilarity measures that enable a se...
Brieuc Conan-Guez, Fabrice Rossi, Aïcha El Go...
ICDM
2003
IEEE
240views Data Mining» more  ICDM 2003»
14 years 1 months ago
Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research
Given the recent explosion of interest in streaming data and online algorithms, clustering of time series subsequences, extracted via a sliding window, has received much attention...
Eamonn J. Keogh, Jessica Lin, Wagner Truppel
ICCNMC
2005
Springer
14 years 1 months ago
Energy Aware Routing Based on Adaptive Clustering Mechanism for Wireless Sensor Networks
Abstract. The main goal of research concerning energy aware routing algorithm for wireless sensor network is to increase the lifetime and long-term connectivity of the wireless sen...
Sangho Yi, Geunyoung Park, Junyoung Heo, Jiman Hon...
APWEB
2009
Springer
13 years 6 months ago
Core-Tag Clustering for Web 2.0 Based on Multi-similarity Measurements
Along with the development of Web2.0, folksonomy has become a hot topic related to data mining, information retrieval and social network. The tag semantic is the key for deep under...
Yexi Jiang, Changjie Tang, Kaikuo Xu, Lei Duan, Li...