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DATAMINE
2007
135views more  DATAMINE 2007»
15 years 7 months ago
Experiencing SAX: a novel symbolic representation of time series
Many high level representations of time series have been proposed for data mining, including Fourier transforms, wavelets, eigenwaves, piecewise polynomial models etc. Many researc...
Jessica Lin, Eamonn J. Keogh, Li Wei, Stefano Lona...
WAIM
2007
Springer
16 years 1 months ago
Distributed, Hierarchical Clustering and Summarization in Sensor Networks
We propose DHCS, a method of distributed, hierarchical clustering and summarization for online data analysis and mining in sensor networks. Different from the acquisition and aggre...
Xiuli Ma, Shuangfeng Li, Qiong Luo, Dongqing Yang,...
GFKL
2005
Springer
95views Data Mining» more  GFKL 2005»
16 years 1 months ago
An Indicator for the Number of Clusters: Using a Linear Map to Simplex Structure
Abstract. The problem of clustering data can be formulated as a graph partitioning problem. In this setting, spectral methods for obtaining optimal solutions have received a lot of...
Marcus Weber, Wasinee Rungsarityotin, Alexander Sc...
ICMLA
2008
15 years 9 months ago
Graph-Based Multilevel Dimensionality Reduction with Applications to Eigenfaces and Latent Semantic Indexing
Dimension reduction techniques have been successfully applied to face recognition and text information retrieval. The process can be time-consuming when the data set is large. Thi...
Sophia Sakellaridi, Haw-ren Fang, Yousef Saad
CLA
2004
15 years 9 months ago
Binary Factor Analysis with Help of Formal Concepts
Binary factor analysis (BFA, also known as Boolean Factor Analysis) is a nonhierarchical analysis of binary data, based on reduction of binary space dimension. It allows us to find...
Ales Keprt, Václav Snásel