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6 articles for “Centroid”
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Advancements in K-Means Clustering: Boosting Algorithm Performance through Innovations
Abstract: K-Means clustering is a widely used unsupervised learning algorithm for partitioning a dataset into distinct clusters. Despite its popularity and simplicity, K-Means has several limitations, such as sensitivity to initial centroids, convergence to local minima, and inefficiency with large datasets. This paper reviews recent advancements aimed at addressing these challenges and enhancing the performance of the K-Means algorithm. Innovations include improved initialization methods, such as K-Means++, which significantly reduce the …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 30–37 Read article
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Human Gesture Based Wireless Robotic Arm Using Matlab
Abstract: Wireless motion control using human gestures is a prominent field. Once this field gets completely explored, there are a lot of advantages. The main advantage of this paper is to reduced hardware, thus making user-friendly motion control. The primary goal of the project is to control every real-time motion of an arm based 4-wheel drive using wearable colored finger bands of suitable intensity. Each color movement corresponds to a particular …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 6, Issue 1, 2018 · pp. 25–28 Read article
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Optimization of Biohybrid Polymer Synthesis Using Fuzzy Inference Systems
Abstract: This investigation proposes a methodology to optimize biohybrid polymer synthesis using fuzzy inference systems (FIS). The study combines fuzzy logic principles with mathematical calculations for finding the best synthesis parameters to enhance the synthesis quality. This study consists on a sample about the use of FIS on optimisation of polymer synthesis, where they show the process of fuzzification, rule base creation, inference mechanism and defuzzification using the centroid method through …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 36–47 Read article
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Video Anomaly Detection using Kalman Based Support Vector Technique
Abstract: AbstractThe digital video processing technology has boomed since last many years. The video processing is done using sum of absolute differences and with the image processing block set. We first calculate motion vectors between successive frames and use them to reduce redundant information. The method uses optical flow algorithm to calculate changes in the intensity of the pixels of the images. Median filtering is used for background extraction which is …
Published in Current Trends in Signal Processing · Vol. 8, Issue 2, 2018 · pp. 4–11 Read article
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On the Optimisation of fundamental frequency to determine the Optimal Design of Bracing System for A Three Storey One Bay Two Dimensional Planar Structure
Abstract: Bracing systems are useful to improve the resistance of multi-storey buildings subjected to wind forces acting in lateral direction on the structure. The main focus of this paper is to find the optimal design of the bracing for a three storey one bay two dimensional planar structure. The eigen frequency of the structure is maximized to determine the relative density using a stress based criteria of each element for every …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 3, 2018 · pp. 55–59 Read article
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Covariance based Clustering for Digital Image Compression
Abstract: Traditionally clustering is done based on distance between the data points and the cluster centroids. A new type of clustering based on distance between the covariance matrices of the clustered data points was recently introduced. This allows clustering data points according to their spatial distribution model. This paper presents an improved algorithm for the computation of covariance based clustering with application to digital image compression. Karhunen-Loeve Transform is an optimal …
Published in Current Trends in Information Technology · Vol. 8, Issue 1, 2018 · pp. 16–21 Read article