can you provide numerical calculations for fuzzy c mean and adaptive fuzzy k mean clustering algorithm for image segmentation to my

mail id:[email protected] ....etc

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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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ABSTRACT

Template matching is an object detection technique in image processing to find small parts of an image which match a template image. There are many methods one can adopt for this purpose.

Matching can be Template based, in which case every pixel that contributes to the template may be matched against every pixel of the image using any means of comparison (eg. SAD, SSD, cross-correlation), or it can me Feature based, where the matching is on the basis of some strong features that the template ma ....etc

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An Efficient K-Means Cluster Based Image Retrieval Algorithm using Learning: An Innovative Approach from Relevance Feedback




INTRODUCTION

content-based image retrieval has been an active
research area in recent years. The interest in this
research area has inspired from the need to search
and well manage large volumes of Multimedia
information . CBIR extracts low-level features
which is Inbuilt in the images to present the contents of
images. E ....etc

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can you provide clear explanation for k mean clustering algorithm for image segmentation and fuzzy c mean clustering algorithm for image segmentation with an example and how the calculations are done? ....etc

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final year project documentation on image segmentation using k-mean in java or c++ code... ....etc

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Student Performance usingK-means algorithm



INTRODUCTION

The problem is to maintain entire students information and evaluating the performance based on their attendance & academics.
Also the students data can be clustered to retrieve the information under various categories.
The internal and external marks of every subject and attendance is taken and they are clustered and performance is evaluated.


Techiniques of DataMining :- 


As ....etc

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Brain tumour detection using FVF contour model
PLS give me the pptdgffdsdfgfdhfdbhfdgbdf
pls gve me the ppt for brain tumour dection using image processing.... ....etc

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can you provide any explanation for formulas used in k-mean clustering algorithm for image segmentation and fuzzy c mean clustering algorithm for image segmentation with an example and how the calculations are done? ....etc

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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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