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mcrversion.zip
In this paper, we propose a color-based
segmentation method that uses the K-means clustering
technique to track tumor objects in magnetic
resonance (MR) brain images. The key concept in this
color-based segmentation algorithm with K-means is
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dctconfig.zip
K-means clustering is a key technique in pixel-based
methods. Because pixel-based methods based on Kmeans
clustering are simple and the computational
complexity is relatively low compared with other
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FCM.rar
Fuzzy C Means For Clustering
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MAFIA.rar
Adaptive Grids for Clustering Massive Data Sets - MAFIA. It is a subspace clustering algorithm.
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CLTree.rar
Clustering through Decision Tree Construction - CLTree - A subspace clustering algorithm.
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ORCLUS.rar
Finding Generalized Projected Clusters in High Dimensional Spaces - ORCLUS - A subspace clustering algorithm.
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PROCLUS.rar
Fast Algorithms for Projected Clustering - PROCLUS - a traditional subspace clustering algorithm for high dimensional data
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ENCLUS.rar
Entropy Based Subspace Clustering for Mining Data - ENCLUS - a new version of PROCLUS algorithm for clustering high dimensional data set.
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