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Papers tagged with "Means"
IMPLEMENTATION OF CONTENT BASED IMAGE RETRIEVAL USING IMPROVED K-MEANS CLUSTERING ALGORITHM
The Content Based Image Retrieval (CBIR) Is The Well-liked And Heart Favorite Area Of Research In The Field Of Digital Image Processing. The Key Goal Of Content Based Image Retrieval (CBIR) Is To Excerpt The Visual Content Of An Image Direc...
A NOVEL APPROACH TO DETECT AND CLASSIFY LEAF DISEASES BASED ON IMAGE PROCESSING
In This Paper, Image Processing Techniques Are Used To Detect The Plant Leaf Diseases. The Objective Of This Work Is To Implement Image Analysis & Classification Techniques For Detection Of Leaf Diseases And Classification. The Proposed Fra...
SURVEY: DATA MINING TECHNIQUES USED IN AGRICULTURAL FIELD
This Paper Shows That The Different Crop Yield Prediction Methods With The Use Of Data Mining Techniques. The Agricultural System Is Very Complex Since It Deals With Large Data Situation Which Comes From A Number Of Factors. Different Data...
EXPERIMENTAL INVESTIGATION OF EFFECT OF VARIOUS PARAMETERS ON ENGINE CHARACTERISTICS USING WASTE COOKING OIL AS BIOFUEL AND FINDING OPTIMIZED CONDITION USING TAGUCHI METHOD
The Science And Engineering Tremendous Progress In Automotives And Transportation Sectors Drastically Created An Accessible World. The Waste Cooking Oil Biodiesel Can Be Regarded As Potential Feedstock For Biodiesel Usage As It Can Co...
MULTI DISEASE DETECTION FOR LEAVES USING KNN
In This Paper, We Proposed An Algorithm For Automatic Detection Of Plant Leaf Diseases. Plant Diseases Detection And Classification Is Very Important Task And Furthermore Automatic Detection Of Plant Diseases Is An Important Analysis Topic...
IMPRESSION INTRUSION DETECTION SYSTEM USING FUZZYSET CLUSTERING ALGORITHM
Intrusion Detection Is One Of The Major Fields Of Research And Researchers Are Trying To Find New Algorithms For Detecting Intrusions. Clustering Techniques Of Data Mining Is An Interested Area Of Research For Detecting Possible Intrusions...
CLUSTERING ANALYSIS OF HETEROGENEOUS DATA USING HYBRID CLUSTERING ALGORITHMS
In The Present Digital Scenario There Is An Overwhelming Increase In Data, With The Increase In Data It Is Urgent To Develop An Effective And Efficient Approach To Handle And Cluster These Data For Further Analysis. This Paper Includes Hybr...
COMPARATIVE STUDY ON SEGMENTATION TECHNIQUES USING FRUIT IMAGES
Segmentation Is A Process Of Dividing An Image Into Distinct Regions With The Aim To Extracts Object Of Interest From The Background. The Traditional Thresholding , Clustering And Transformation Segmentation Techniques That Were Widely Used...
NEW INTRUSION CLASSIFICATION SYSTEM USED PARALLEL CLUSTERING ALGORITHM
Intrusion Detection Technology Is A Research Hotspot In The Field Of Information Security. This Study Introduces The Types Of Traditional Intrusion Detection And Data Mining Technology. The Present Article Gives An Overview Of Existing Intr...
finger vein extraction and authentication for advanced voting system
Smart Voting Based On Biometric Authentication In The Developing Field Of Modern Security System. The Process Of Creating The Clusters Of Finger Vein Samples Based On The Images That Are Extracted. The Present Paper Deals With The Applicati...
A CLUSTER ANALYSIS OF INVESTMENT STRATEGIES IN THE SHARE MARKET
This Paper Presents Big Data System. In Existing System, The New Clustering Algorithm Called K-Means Clustering Method (KMC) Is Used. It Analysis The Churn Data In Map Reduce Function Using The Possibilistic C-Means Algorithm (PCM). The Hi...
DETECTION OF LEUKEMIA AND ITS TYPES USING IMAGE PROCESSING AND MACHINE LEARNING
Leukemia (blood Cancer) Begins In The Bone Marrow And Causes The Formation Of A Large Number Of Abnormal Cells. The Most Common Types Of Leukemia Known Are Acute Lymphoblastic Leukemia (ALL), Acute Myeloid Leukemia (AML), Chronic Lymphocyti...
VOICE BASED PUBLIC OPINION MINING AND AUTOMATIC CATEGORY SYSTEM
Nowadays, Central And State Governments Allocates/spends Heavy Budget For People Beneficial Schemes. Even Though There Is No Maintenance Been Carried And The Schemes Are Not Beneficial To The Public Hence People Face Several Problems In Day...
Proposed Anomaly Detection Utilizing Two Phase K-Means Clustering Algorithm
Information Mining Is An Effective Information Investigation Process Which Is Utilized To Discover The Examples And Relationship Of An Enormous Database. Bunching Is A Well Known System Of Information Digging For Unaided Learning In Which N...
A SURVEY: MEDICAL IMAGE SEGMENTATION ALGORITHMS AND COMPARISONS
Medical Image Segmentation Process Is Crucial In Medical Images. It Helps In Dividing Of An Image Into Multiple Objects. It Is The Crucial And Essential Process For Facilitating The Characterization, Declination, And Virtualization Of Secto...