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» Stability of k -Means Clustering
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CINQ
2004
Springer
133views Database» more  CINQ 2004»
13 years 12 months ago
Inductive Querying for Discovering Subgroups and Clusters
We introduce the problem of cluster-grouping and show that it integrates several important data mining tasks, i.e. subgroup discovery, mining correlated patterns and aspects from c...
Albrecht Zimmermann, Luc De Raedt
ICFHR
2010
130views Biometrics» more  ICFHR 2010»
13 years 3 months ago
Spatial Similarity Based Stroke Number and Order Free Clustering
In this paper, we present an innovative approach to integrate spatial relations in stroke clustering for handwritten Devanagari character recognition. It handles strokes of any num...
K. C. Santosh, Cholwich Nattee, Bart Lamiroy
TVLSI
2010
13 years 2 months ago
Bandwidth Adaptive Hardware Architecture of K-Means Clustering for Video Analysis
K-Means is a clustering algorithm that is widely applied in many fields, including pattern classification and multimedia analysis. Due to real-time requirements and computational-c...
Tse-Wei Chen, Shao-Yi Chien
WSOM
2009
Springer
14 years 2 months ago
Analytic Comparison of Self-Organising Maps
Abstract. SOMs have proven to be a very powerful tool for data analysis. However, comparing multiple SOMs trained on the same data set using different parameters or initialisation...
Rudolf Mayer, Robert Neumayer, Doris Baum, Andreas...
IAJIT
2010
230views more  IAJIT 2010»
13 years 6 months ago
An Unsupervised Artificial Neural Network Method for Satellite Image Segmentation
: Image segmentation is an essential step in image processing. The goal of segmentation is to simplify and/or to change the representation of an image into a form easier to analyze...
Mohamad Awad