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Title: fuzzy c means clustering with matlab source code ppt
Page Link: fuzzy c means clustering with matlab source code ppt -
Posted By:
Created at: Monday 22nd of July 2013 11:56:33 AM
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Title: FLEXIBLE HARDWARE ARCHITECTURE OF HIERARCHICAL K-MEANS CLUSTERING FOR LARGE CLUSTER N
Page Link: FLEXIBLE HARDWARE ARCHITECTURE OF HIERARCHICAL K-MEANS CLUSTERING FOR LARGE CLUSTER N -
Posted By: seminar class
Created at: Tuesday 29th of March 2011 01:20:07 PM
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PRESENTED BY:
Narmadha.K
Panimalar.R
Pavithra.P
Praveena.M


FLEXIBLE HARDWARE ARCHITECTURE OF HIERARCHICAL K-MEANS CLUSTERING FOR LARGE CLUSTER NUMBER

ABSTRACT
 To Handle Large Cluster Number In Embedded Systems, A Hardware Architecture Of Hierarchical K-means (Hk-means) Is Proposed To Support A Maximum Cluster Number Of 1024.
 It Adopts 10 Processing Elements For The Euclidean Distance Computations And The Level-order Binary-tree Traversal
 The Gate Count Of The Hardware Is 4 ....etc

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Title: Fuzzy c-means clustering based digital camouflage pattern design
Page Link: Fuzzy c-means clustering based digital camouflage pattern design -
Posted By: smart paper boy
Created at: Saturday 30th of July 2011 04:58:05 PM
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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 stationa ....etc

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Title: adaptive fuzzy k means clustering algorithm for image segmentation ppt
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Created at: Friday 18th of January 2013 03:53:03 PM
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Title: Brain Tumor detection using Color-Based K-means Clustering Segmentationfull report u
Page Link: Brain Tumor detection using Color-Based K-means Clustering Segmentationfull report u -
Posted By: projectsofme
Created at: Friday 01st of October 2010 01:33:15 PM
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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 imag ....etc

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Title: spatial fuzzy c means clustering ppt
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Created at: Saturday 06th of October 2012 02:33:19 PM
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Title: adaptive fuzzy k means clustering algorithm for image segmentation matlab code
Page Link: adaptive fuzzy k means clustering algorithm for image segmentation matlab code -
Posted By:
Created at: Wednesday 22nd of May 2013 04:41:17 PM
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Title: adaptive fuzzy k means clustering algorithm for image segmentation matlab code
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Posted By:
Created at: Wednesday 22nd of May 2013 04:35:30 PM
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Title: An Adaptive K-means Clustering Algorithm for Breast Image Segmentation
Page Link: An Adaptive K-means Clustering Algorithm for Breast Image Segmentation -
Posted By: smart paper boy
Created at: Friday 29th of July 2011 04:49:39 PM
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ABSTRACT
Breast cancer is one of the major causes of death among women.
Small clusters of micro calcifications appearing as collection of
white spots on mammograms show an early warning of breast
cancer. Early detection performed on X-ray mammography is the
key to improve breast cancer diagnosis. In order to increase
radiologist’s diagnostic performance, several computer-aided
diagnosis (CAD) schemes have been developed to improve the
detection of primary identification of this disease. In this paper, an
attempt is made to de ....etc

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Title: Realization of clustering uning k-means algorithm
Page Link: Realization of clustering uning k-means algorithm -
Posted By: dwaii31
Created at: Friday 22nd of April 2011 05:33:12 PM
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I am doing a project on realization of clustering using k-means algorithm.

Can any one help me to realize the following matlab codes,how it works,specifications and detail explanations regarding the code functions and its implementations, please help me out.


1.
function d=DistMatrix(A,B)
=size(A);
=size(B);
if hA==1& hB==1
d=sqrt(dot((A-B),(A-B)));
else
C=;
D=flipud(C);
E=;
F=flipud(E);
G=A*C;
H=A*D;
I=B*E;
J=B*F;
d=sqrt((G-I').^2 ....etc

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