Impact Factor
Publish Your Paper
Submit your research manuscript for fast peer review and publication.
Submit Paper
Papers tagged with "Means"
Advance unfair means system
A System That Helps To University To Solve UFM Cases Of Student Who Adopted In University Exam. In This System First UFM Case Submission Will Be Done. And One Live Docket Generated Docket By Applying Enrollment Of Student And Sens...
AUTOMATIC DEFECT DETECTION AND GRADING OF SINGLE COLOR FRUIT
In This Paper Present The Advance And Application Of Image Analysis And Computer Vision System In Defect Detection Of Fruit Surface In The Agricultural Field. Computer Vision Is A Rapid, Consistent Inspection Technique, Which Has Expanded T...
A Survey on Different Clustering Techniques Used in Web Mining
Clustering Is A Process Of Putting Similar Data Into Groups. Clustering Can Be Considered The Most Important Unsupervised Learning Technique So As Every Other Problem Of This Kind; It Deals With Finding A Structure In A Collection Of Unlabe...
MRI BRAIN IMAGE SEGMENTATION: A REVIEW
Now A Day’s Medical Image Processing (MIP) Is The Most Emerging And Challenging Field. Preprocessing Of MRI Brain Image Segmentation Is Widely Used Involves Accurately And Precisely Automatic Detection Of MRI Images. The Selection Of Ansuit...
COMPARATIVE STUDY ON CLUSTERING ALGORITHMS AS FUZZY C-MEANS AND K-MEANS
Software Engineering Is A Set Of Problem Solving Skills, Instructions, Methods And Algorithms Are Applied On Many Problem Having Domain To Identify And Create Useful Systems. The Created Systems Are Applied On Many Practical Problems To Sol...
Detection of Optic Disc in Retinal Images by Means of a Geometrical Model of Vessel Structure
We Present Here A New Method To Identify The Posi-tion Of The Optic Disc (OD) In Retinal Fundus Images. The Method Is Based On The Preliminary Detection Of The Main Retinal Vessels. All Retinal Vessels Originate From The OD And Their Path F...
A BRIEF REVIEW ON IMAGE SEGMENTATION OF MEDICAL IMAGES WITH ITS APPROACH
This Paper Presents A Survey On Image Segmentation. In Image Segmentation Dividing An Image Into Many Regions Is The Segmentation Process. Segmentation Process Provides A Way To Find A Particular Region Of Point Inside An Image. This Proces...
ENTROPY REDUCTION BY USING K-MEANS CLUSTERING AND NEURAL NETWORK
Vast Amount Of Data Is Being Gathered By Numerous Medical Organization. Researchers Are Working Hard To Uncover Hidden Patterns From Raw Data Available. This Paper Focuses On The Tools And Various Data Mining Techniques To Study The Medical...
PERFORMANCE ANALYSIS OF FUZZY K-MEANS AND FUZZY C-MEANS ALGORITHM ON BREAST CANCER DATASET
A Fuzzy K Means Clustering To Deal With The Problem Where The Points Are Somewhat In Between Centers Or Otherwise Ambiguous By Replacing Distance With Probability Relative To The Inverse Of The Distance. Fuzzy K-means Uses A Weighted Centro...
IMPLEMENTATION OF BRAIN TUMOR DETECTION USING MORPHOLOGICAL AND FUZZY METHODOLOGY: COMPARATIVE ANALYSIS
Brain Tumor Is Not A Restricted Growth Of Tissues In Human Brain. This Tumor, When Turns In To Cancer Become Life Threatening. Medical Imaging, Is Used To Find The Location Of Tumor And Its Category. For Detecting Tumor In Magnetic Resonanc...
TRAFFIC ESTIMATION AND ROUTING USING K-MEAMS CLUSTERING ALGORITHM
Traffic Analysis Using K-means Clustering Used For Managing Traffic Load On Particular Path In Mega City.It Is Important To Know The Road Traffic Density Real Time Especially In Mega Cities For Signal Control And Effective Traffic Managemen...
PREDICTIVE MODEL BASED ELECTRICAL CONSUMPTION
The Data Mining Is The Task Of Analyzing Of Large Quantities Of Data To Derive Previously Unknown, Interesting Patterns Such As Groups Of Data Records, Unusual Records , And Dependencies. It Has The Ability To Turn Raw Data Into Useful Info...
A SURVEY ON INTRUSION DETECTION SYSTEM BASED ON K-MEANS AND RBF KERNEL FUNCTION
In These Days An Increasing Number Of Public And Commercial Services Are Used Through The Internet, So That Security Of Information Becomes More Important Issue Within The Society Records Intrusion Detection System (IDS) Used Against Attack...
A NOVEL CBIR SYSTEM USING ADAPTIVE K-MEANS CLUSTERING AND MULTI CLASS SVM CLASSIFICATION
In This Paper, A Novel CBIR System With Adaptive K- Means Using Hue, Saturation And Intensity Color Space And Multi Kernel SVM Method With An Efficient Combination Of Contrast Enhancement, Color Moment, DWT Features Is Proposed. We Ext...