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» Techniques of Cluster Algorithms in Data Mining
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CORR
2008
Springer
113views Education» more  CORR 2008»
15 years 1 months ago
Document stream clustering: experimenting an incremental algorithm and AR-based tools for highlighting dynamic trends
We address here two major challenges presented by dynamic data mining: 1) the stability challenge: we have implemented a rigorous incremental density-based clustering algorithm, i...
Alain Lelu, Martine Cadot, Pascal Cuxac
111
Voted
CVPR
2007
IEEE
16 years 3 months ago
From Videos to Verbs: Mining Videos for Activities using a Cascade of Dynamical Systems
Clustering video sequences in order to infer and extract activities from a single video stream is an extremely important problem and has significant potential in video indexing, s...
Pavan K. Turaga, Ashok Veeraraghavan, Rama Chellap...
118
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ICDM
2002
IEEE
191views Data Mining» more  ICDM 2002»
15 years 6 months ago
Iterative Clustering of High Dimensional Text Data Augmented by Local Search
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
Inderjit S. Dhillon, Yuqiang Guan, J. Kogan
ICDM
2006
IEEE
118views Data Mining» more  ICDM 2006»
15 years 7 months ago
GCA: A Coclustering Algorithm for Thalamo-Cortico-Thalamic Connectivity Analysis
The reciprocal connectivity between the cerebral cortex and the thalamus in a human brain is involved in consciousness and related to various brain disorders, thus, in-vivo analys...
Cui Lin, Shiyong Lu, Xuwei Liang, Jing Hua
CIT
2007
Springer
15 years 8 months ago
Performance Assessment of Some Clustering Algorithms Based on a Fuzzy Granulation-Degranulation Criterion
In this paper a fuzzy quantization dequantization criterion is used to propose an evaluation technique to determine the appropriate clustering algorithm suitable for a particular ...
Sriparna Saha, Sanghamitra Bandyopadhyay