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» Techniques of Cluster Algorithms in Data Mining
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ICIP
2000
IEEE
15 years 11 months ago
Hough Technique for Bar Charts Detection and Recognition in Document Images
Charts are common graphic representation for scientific data in technical and business papers. We present a robust system for detecting and recognizing bar charts. The system incl...
Yan Ping Zhou, Chew Lim Tan
IEAAIE
2005
Springer
16 years 1 days ago
A SOM Based Approach for Visualization of GSM Network Performance Data
In this paper, a neural network based approach to visualize performance data of a GSM network is presented. The proposed approach consists of several steps. First, a suitable propo...
Pasi Lehtimäki, Kimmo Raivio
EDBT
2006
ACM
191views Database» more  EDBT 2006»
16 years 6 months ago
Distributed Spatial Clustering in Sensor Networks
Abstract. Sensor networks monitor physical phenomena over large geographic regions. Scientists can gain valuable insight into these phenomena, if they understand the underlying dat...
Anand Meka, Ambuj K. Singh
INCDM
2007
Springer
69views Data Mining» more  INCDM 2007»
16 years 20 days ago
Simultaneous Co-clustering and Modeling of Market Data
For difficult prediction problems, practitioners often segment the data into relatively homogenous groups and then build a model for each group. This two-step procedure usually res...
Meghana Deodhar, Joydeep Ghosh
ICDE
2012
IEEE
208views Database» more  ICDE 2012»
13 years 9 months ago
Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data
—Traditional clustering algorithms identify just a single clustering of the data. Today’s complex data, however, allow multiple interpretations leading to several valid groupin...
Emmanuel Müller, Stephan Günnemann, Ines...