Search Results - (( based segmentation clustering algorithm ) OR ( java application interface algorithm ))
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Image segmentation based on normalised cuts with clustering algorithm
Published 2013“…As the clusters initialisation gives influence to the segmentation result, optimisation of the clustering algorithm is implemented to achieve a better segmentation. …”
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Thesis -
2
Harmony Search-Based Fuzzy Clustering Algorithms For Image Segmentation
Published 2011“…Fuzzy clustering algorithms, which fall under unsupervised machine learning, are among the most successful methods for image segmentation. …”
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3
Customer segmentation on clustering algorithms
Published 2023“…Then, k-means, DBSCAN, and GMM clustering algorithms are applied to segment customers based on their buying behaviour. …”
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Final Year Project / Dissertation / Thesis -
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Framework for stream clustering of trajectories based on temporal micro clustering technique
Published 2018“…In the online phase, the stream clustering algorithm for trajectories based on the lifespan of the cluster is proposed (CC_TRS) to overcome the limitations of the time window technique. …”
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5
Image clustering comparison of two color segmentation techniques
Published 2010“…There are many algorithm for analysing clustering each having its own method to do clustering. …”
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6
Unsupervised segmentation technique for acute leukemia cells using clustering algorithms
Published 2015“…Due to the requirement of prompt and accurate diagnosis of leukaemia, the current study has proposed unsupervised pixel segmentation based on clustering algorithm in order to obtain a fully segmented abnormal white blood cell (blast) in acute leukaemia image.In order to obtain the segmented blast, the current study proposed three clustering algorithms which are k-means, fuzzy c-means and moving k-means algorithms have been applied on the saturation component image. …”
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7
Features extraction based on fuzzy clustering and segmentation onto the motion region for medium field surveillance application
Published 2004“…Fuzzy-based clustering algorithm is becoming popular in image processing, especially in image segmentation. …”
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Book Section -
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A survey: Challenges of image segmentation based fuzzy c-means clustering algorithm
Published 2024journal::journal article -
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Cluster approach for auto segmentation of blast in acute leukimia blood slide images
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Working Paper -
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AUTOMATED CERVICAL CELL NUCLEI SEGMENTATION BASED ON MULTILAYER UNSUPERVISED CLUSTERING ALGORITHM AND MORPHOLOGICAL APPROACH
Published 2025“…The research aims to develop an algorithm for autonomously segmenting the nucleus of cervical cells to aid in diagnosis and future research. …”
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Segmentation of MRI brain images using statistical approaches
Published 2011“…The Gaussian Mixture Model (GMM) is a clustering algorithm that is commonly used for brain MRI segmentation. …”
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13
MRI segmentation of medical images using FCM with initialized class centers via genetic algorithm
Published 2008“…The genetic algorithm is used to find initialized centre of the clusters. …”
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Conference or Workshop Item -
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Development of Acute Stroke Lesion Segmentation Algorithm in Brain MRI using Pseudo-colour with K-means Clustering
Published 2021“…This study aims to develop an automatic segmentation by utilizing clustering algorithm for acute ischemic stroke lesion identification. …”
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15
A study of left ventricular (LV) segmentation on cardiac cine-MR images
Published 2022“…Both adaptive and global thresholding algorithms along with region-based segmentation algorithm have been explored. …”
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A Center-Based Stable Evolving Clustering Algorithm With Grid Partitioning And Extended Mobility Features For VANETs
Published 2020“…An improvement percentage of the efficiency in (CEC-GP) over the benchmarks Center based stable clustering (CBSC) and evolving data clustering algorithm (EDCA) is 65% and 394% respectively.…”
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An improved fast scanning algorithm based on distance measure and threshold function in region image segmentation
Published 2016“…Various algorithms have been proposed for image segmentation and this includes the Fast Scanning algorithm which has been employed on food, sport and medical image segmentation. …”
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Thesis -
18
Effects of Different Superpixel Algorithms on Interactive Segmentations
Published 2022“…Semi-automated segmentation or more commonly known as interactive image segmentation is an algorithm that extracts a region of interest (ROI) from an image based on the input information from the user. …”
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CC_TRS: continuous clustering of trajectory stream data based on micro cluster life
Published 2017“…In this article, an algorithm for Continuous Clustering of Trajectory Stream Data Based on Micro Cluster Life is proposed. …”
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Customer mobile behavioral segmentation and analysis in telecom using machine learning
Published 2021“…The dashboard visualizes the cluster analysis based on demographics, behavior, and region features. …”
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