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Simultaneous Manifold Learning and Clustering: Grouping White Matter Fiber Tracts Using a Volumetric White Matter Atlas
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We propose a new clustering algorithm. This algorithm performs clustering and manifold learning simultaneously by using a graph-theoretical approach to manifold learning. We apply this algorithm in order to cluster white matter fiber tracts obtained [...]

A Mean Shift Clustering Implementation for VTK
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Mean shift clustering is an excellent technique for clustering points when the number of clusters is not known. We present a implementation (vtkMeanShiftClustering) of the simplest version of the algorithm written in a VTK context. The code is currently [...]

A K-Means++ Clustering Implementation for VTK
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K-Means clustering is an excellent technique for clustering points when the number of clusters is known. We present a implementation (vtkKMeanClustering) of the algorithm written in a VTK context. We also implement the K-Means++ initialization method which [...]

Clustering Segmentation for VTK
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This document presents a VTK implementation of the algorithm described in "A clustering method for efficient segmentation of 3D laser data" by Klasing, Klaas Wollherr, Dirk, and Buss, Martin. The algorithm . The code is available [...]

Non-negative matrix factorization framework for dimensionality reduction and unsupervised clustering
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Non-negative Matrix Factorization (NMF) is a robust approach to learning spatially localized parts-based subspace patterns in applications such as document analysis, image interpretation, and gene expression analysis. NMF-based decomposition capabilities are [...]

Fuzzy Clustering Algorithms for Image Segmentation
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In this document we present the implementation of three fuzzy clustering algorithms using the Insight Toolkit ITK. Firstly, we developed the conventional Fuzzy C-Means that will serve as the basis for the rest of the proposed algorithms. The next algorithms [...]

An Intelligent cluster-based segmentation using Wavelet Features:Application to Medical Images
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Segmentation forms the onset for image analysis especially for medical images, making any abnormalities in tissues distinctly visible. Possible application includes the detection of tumor boundary in SPECT, MRI or electron MRI (EMRI). Nevertheless, tumors [...]

The Bag of Words Approach for the Classification of Head and Neck Cancers Using Diffuse Reflectance Spectroscopy
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Diff use Reflectance Spectroscopy (DRS) is a leading technique for the detection of head and neck cancers. It can capture information regarding tissue absorption and scattering. In this research work, we propose a novel method for the identification of normal [...]


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