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ICIAR
2005
Springer
16 years 8 days ago
Estimating the Natural Number of Classes on Hierarchically Clustered Multi-spectral Images
Image classification is often used to extract information from multi-spectral satellite images. Unsupervised methods can produce results well adjusted to the data, but that are us...
André R. S. Marçal, Janete S. Borges
COMAD
2009
15 years 7 months ago
A Simple and Efficient Lane Detection using Clustering and Weighted Regression
Developing a vision based, efficient and automatic lane detection system from a moving vehicle is a challenging task mainly due to poor quality of lane markings, occlusion created...
Rudra N. Hota, Shahanaz Syed, Subhadip Bandyopadhy...
ICANN
2010
Springer
15 years 7 months ago
Visualising Clusters in Self-Organising Maps with Minimum Spanning Trees
Abstract. The Self-Organising Map (SOM) is a well-known neuralnetwork model that has successfully been used as a data analysis tool in many different domains. The SOM provides a to...
Rudolf Mayer, Andreas Rauber
CORR
2011
Springer
255views Education» more  CORR 2011»
14 years 10 months ago
Link Spam Detection based on DBSpamClust with Fuzzy C-means Clustering
This Search engine became omnipresent means for ingoing to the web. Spamming Search engine is the technique to deceiving the ranking in search engine and it inflates the ranking. ...
S. K. Jayanthi, S. Sasikala
BILDMED
2011
245views Algorithms» more  BILDMED 2011»
14 years 10 months ago
Clustering-Based Detection of Anatomical Features on Organic Shapes
Abstract. Robust and accurate automatic detection of anatomical features on organic shapes is a challenging task. Despite a rough similarity, each shape is unique. To cope with thi...
Konrad Sickel, Vojtech Bubnik