Abstract
Optical camouflage is a hypothetical type of active camouflage system. Optical Camouflage uses the Retro-reflective Projection Technology; a projection based augmented system, composed of a projector with a small iris and a retro reflective screen. The concept of optical camouflage is straightforward: to create the illusion of invisibility by covering an object with something that projects the scene directly behind that object. This system was conceived with the primary view in mind of concealing stationary or moving objects ....etc

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To get full information or details of fuzzy c means clustering please have a look on the pages

http://seminarsprojects.net/Thread-fuzzy-c-means-clustering-of-incomplete-data

http://seminarsprojects.net/Thread-fuzzy-c-means-clustering-based-digital-camouflage-pattern-design

if you again feel trouble on fuzzy c means clustering please reply in that page and ask specific fields in fuzzy c means clustering ....etc

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To get full information or details of algorithm for fuzzy c means clustering java please have a look on the pages

http://seminarsprojects.net/Thread-effective-fuzzy-clustering-algorithm-for-abnormal-mr-brain-image-segmentation-report

http://seminarsprojects.net/Thread-a-fuzzy-self-constructing-feature-clustering-algorithm-for-text-classification

http://seminarsprojects.net/Thread-to-design-a-fuzzy-similarity-based-self-constructing-feature-clustering-algorithm

http://seminarsprojects.net/Thread-spatial-fuzzy-clustering-using-em-and-markov ....etc

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Clustering of numerical data forms the basis of many classification and system modeling algorithms. The purpose of clustering is to identify natural groupings of data from a large data set to produce a concise representation of a system's behavior.

Fuzzy c-means (FCM) is a data clustering technique in which a dataset is grouped into n clusters with every datapoint in the dataset belonging to every cluster to a certain degree. For example, a certain datapoint that lies close to the center of a cluster will have a high degree of belonging or mem ....etc

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Fuzzy c-Means Clustering of Incomplete Data



INTRODUCTION

WE ARE interested in clustering a set of objects
represented by a numerical object data set
into clusters, . The
numerical data describes the objects by specifying values for
particular features. For example, if the th component of each
datum corresponds to the feature of weight, then the th component
of , denoted by , gives the weight of object . In
some situations, feature vectors in can have missing components
[ ....etc

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Brain Tumor detection using Color-Based K-means Clustering Segmentation

INTRODUCTION

This paper proposes 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 to convert a given gray-level MR image into a color space image and then separate th ....etc

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introduction
Image segmentation can be defined as the process of
dividing the image on non-intersecting Uniform
regions. These homogeneous areas, as a rule, we Have
Similar items of interest or A part of them.
homogeneity of segmented areas can be
Measurements shall be carried out by using some image properties (e. g. Pixel
The Intensity). On the other hand, clustering can be
is defined as the optimal partitioning of the specified set p
the data points in the subgroups so that data points
Belonging to the same group as similar to each
While oth ....etc

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Neurologic exam: Your doctor checks your vision, hearing, alertness, muscle strength, coordination, and reflexes. Your doctor also examines your eyes to look for swelling caused by a tumor pressing on the nerve that connects the eye and the brain.
MRI: A large machine with a strong magnet linked to a computer is used to make detailed pictures of areas inside your head. Sometimes a special dye (contrast material) is injected into a blood vessel in your arm or hand to help show differences in the tissues of the brain. The pictures can show abnor ....etc

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need literature review on brain tumor detection using color based k means clustering segmentation urgently
literature review on brain tumor detection using color based k means clustering segmentation ....etc

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