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387 articles for “clustering”
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The Economic Importance of Art and Craft: Men as Artisans at Ranchi Cluster in Jharkhand State
Abstract: There is an inseparable relationship between Art, culture and civilization in India. As man Gradually developed, art also kept on developing along with his civilization. Be it the civilization of any country. Its emergence has been the result of human imagination. Art has always had a significant historical significance, transcended cultural borders and acted as a monument to humanity's inventiveness and imagination. Artists have risen throughout history as guardians of …
Published in Recent Trends in Social Studies · Vol. 1, Issue 2, 2024 · pp. 47–56 Read article
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Survey of Techniques for Clustering and Classification of ECG using WEKA
Abstract: ECG analysis can be done for automatic detection of abnormality in cardiac activity. This can be helpful in generating alert for saving a precious life. Various techniques have been proposed in literature for feature detection and classification such as; fuzzy logic methods, artificial neural networks (ANN), and support vector machines (SVM), wavelet transform, Hilbert transform, etc. Recently, numerous researches and techniques have been developed for analyzing the ECG signal on …
Published in Journal of Microcontroller Engineering and Applications · Vol. 3, Issue 2, 2016 · pp. 14–19 Read article
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A combined concept of K-means clustering and DES technique accomplishing Anonymization method for Privacy Preservation
Abstract: Privacy-Preserving Data Mining also an important part of the data mining and privacy preservation has gain particular attention in current years. Data mining has been widely studied and useful into numerous fields which include the the business growth. In any case, Data mining strategies furthermore take region basic requesting circumstances because of augmented touchy measurements revelation and the infringement of privacy. This discussion describes the privacy concern that occurs due …
Published in Journal of Advances in Shell Programming · Vol. 5, Issue 1, 2018 · pp. 14–19 Read article
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Color Image Segmentation Using Optimized FCM Based on Modified Xie-Beni’s Validity Index
Abstract: AbstractColor image segmentation is an important task for image processing. There are many techniques used for segmentation; among them clustering is the most popular technique. The main issue of clustering process is to determine the number of clusters present in the image, which often is decided by the user or by cluster validity index. It is illogical to have correct or exact knowledge about the data points present in the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 2, 2017 · pp. 4–12 Read article
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Enhanced Incremental DB Scan Algorithm using Map-Reduce
Abstract: Distributed data mining is more efficient, scalable and its performance is better than the central data mining techniques. Incremental DBSCAN algorithm is better than the other method DBSCAN. Incremental DBSCAN can give better performance in distributed environment in terms of run time complexity using Hadoop platform. The proposed system uses spatial dataset i.e. dataset are distributed among different sites. Initially, clusters are generated at each site using DBSCAN algorithm. Then …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 3, Issue 2, 2015 · pp. 1–6 Read article
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What Every Person Must Know About the Preliminary of String Theories to Evolve All Super Clusters, Galaxies, Stars, Planets, Planetesimals in the Universe
Abstract: The basic things of string theory say that we live in an accelerating and ever expanding universe today. String theory also supports the inflation theory of the Big Bang, where a period of rapid expansion happened in the history of the early Universe. Most of the theories in string theory are focused on understanding a theory of broken Supersymmetry. Only after following conditions are met is destroyed would De-Sitter space …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 11, Issue 2, 2022 · pp. 7–21 Read article
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A Study on Diverse Routing Protocols for Mobile Sink in Wireless Sensor Network
Abstract: Wireless sensor networks are distinct ad hoc networks in which nodes are offered to analyze the physical word through abundant modest, economical and smart sensor nodes scattered in require field of intrigue. These sensor nodes are uninhibitedly suit to detect strategy and wirelessly stretch out climate conditions to a base station. Leach is a clustering based protocol that characterizes an entire WSN in type of various clusters. Clustering is the …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 5, Issue 2, 2018 · pp. 1–7 Read article
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Genetic Divergence for Yield and Yield Attributes of Spring Rice (Oryza sativa L.) Genotypes in Western Hill of Nepal
Abstract: A varietal trial of spring rice (Oryza sativa L.) was conducted in the farmer field at Dhamilikuwa, Lamjung, Nepal with an objective to study the genetic divergence for yield and yield related components from March 2017-June 2017. The experiment was carried out in randomized complete block design (RCBD) having eighteen genotypes with three replications. Cluster analysis revealed that eighteen genotypes were grouped into four clusters based on Euclidean distance. Cluster …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 7, Issue 2, 2018 · pp. 1–4 Read article
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Text Analysis in Health Care Study Using IoT
Abstract: The Internet of Things (IoT) should be a recent buzzword that has steadily acquired acceptance (IoT). Organizations, governments, and the scientific community have already acknowledged the significance of the Internet of Things as a result of a surge in publications over the past few years. Despite scant research on goals and potential breakthroughs, IoT in health had a significant role in this development. In this study, the only method used …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 3, 2022 · pp. 11–18 Read article
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Identification of Thyroid Disease Severity using Fuzzy C-Means
Abstract: Clustering is a primary data description method in data mining which group’s most similar data. Data clustering is one of the important problems in the fields of data mining, bio-informatics and pattern recognition. Various algorithms are used to solve this problem. This paper presents the performance analysis of k-means clustering algorithm and compares it with fuzzy C- Means (FCM) algorithm on Thyroid disease data set. We also find the accuracy …
Published in Journal of Advanced Database Management & Systems · Vol. 1, Issue 1, 2014 · pp. 13–19 Read article
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A Novel Approach for Adjustment of CH in Energy Efficient routing Protocol (LEACH) for Wireless Sensor Network
Abstract: Networking together hundreds or thousands of cheap microsensor nodes allows users to accurately monitor a remote environment by intelligently combining the data from the individual nodes. These networks require robust wireless communication protocols that are energy efficient and provide low latency. In this paper, author develop and analyze low-energy adaptive clustering hierarchy distributed cluster formation technique that enables self-organization of large numbers of nodes, algorithms for adapting clusters and rotating …
Published in Journal Of Network security · Vol. 1, Issue 1, 2013 Read article
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Large Scale Demonstration and Popularization of Bread Wheat (Triticum aestivum) Varieties in Selected Districts of Southwest Ethiopia Region
Abstract: wheat is a staple crop in Ethiopia, contributing to both the country's agricultural sector and the diet of its population. Cluster-based large-scale demonstrations of improved bread wheat varieties were conducted during 2022 meher cropping season in selected districts of two zones of southwest Ethiopia to demonstrate and promote improved bread wheat technology under farmers' conditions. Chena district from the Kaffa zone and Sheybench district from the Bench Sheko zone were …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 12, Issue 3, 2023 · pp. 24–29 Read article
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Design and Implementation of an Energy-Efficient Wireless Sensor Network for Remote Monitoring
Abstract: Applications such as industrial automation, environmental monitoring, and agriculture make extensive use of wireless sensor networks, or WSNs. Since sensor nodes frequently operate in remote locations and have limited battery power, energy efficiency is the largest problem in WSN design. This paper presents an energy-efficient WSN architecture that combines optimized clustering and duty-cycling mechanisms to reduce energy consumption and increase network lifetime. The system uses low-power ESP32 nodes with Zigbee …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 1, 2026 · pp. 22–27 Read article
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Fractional Riemannian Fuzzy C-Means with Time-Series Regularization for Economic Manifold Forecasting
Abstract: A fractional Riemannian fuzzy c-means framework is proposed for uncertain economic forecasting on non-Euclidean data domains. Observations are represented on a Riemannian manifold, cluster centres are intrinsic prototypes, and a latent fuzzy regime signal is regularised by both autoregressive and fractional-memory penalties. The resulting objective couples geometric clustering with time-series consistency, thereby discouraging partitions that are locally plausible but temporally incoherent. Closed-form membership updates, exponential-map centre updates, normal equations for …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 49–55 Read article
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Application of Machine Learning Techniques for Tongue Diagnosis in Ayurveda
Abstract: The analysis of tongue image is a very crucial approach in order to evaluate human health in Ayurveda medication. As a result of the modification in tongue color might counsel physical or mental disorders. Many tongue color quantification strategies for tongue diagnosis are published by many researchers in Chinese medication. However, reliable tongue color analysis algorithms are limited for Ayurveda medicine. The main objective of this paper is to apply …
Published in Journal of Advancements in Robotics · Vol. 7, Issue 1, 2020 · pp. 8–14 Read article
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A Study on Spatio-temporal Variation in Ambient Temperatures over Parts of Andhra Pradesh, India
Abstract: Climate change is one of the irreversible phenomena human beings ever faced in recent past. Hydro-meteorological variables provide efficient information to study the climate patterns over any region. This paper aims on narrowing down the areas which need immediate attention since high temperatures were recorded over them. This part of the study showed that hotspots analysis and cluster and outlier analysis are quintessential for policy makers to understand the higher-risk …
Published in Journal of Remote Sensing & GIS · Vol. 5, Issue 1, 2014 · pp. 1–15 Read article
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Histological Effects of Nano-Synthesized Particles of Nagilla Sativa Seeds Extract on Digestive System of Male Albino Mice
Abstract: This revision considers the belongings of Tartrazine and black seed nanoparticles on body mass and cardiac histology in male albino mice. Group of male mice were separated into 4 clusters: a regulator cluster getting physiological saline, other cluster preserved with Tartrazine (20 mg/kg), another cluster getting equally Tartrazine with N. sativa nanoparticles (100 mg/kg), while last cluster preserved solely besides to N. sativa nanoparticles (100 mg/kg). The assumptions confirmed an …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 1, 2025 · pp. 1–6 Read article
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Various Routing Algorithms in Wireless Sensor Networks for Energy Minimization
Abstract: The past few years have witnessed increased interest in the potential use of wireless sensornetworks (WSNs) in a wide range of applications and it has become a hot research area. Lot ofresearchers are showing interest in WSN for disaster management where prediction ofupcoming disaster is required well in advance before it happens and in critical areas wherehuman presence is not possible directly; wired communication dose not suit well for suchapplications. …
Published in Recent Trends in Sensor Research & Technology · Vol. 7, Issue 3, 2020 · pp. 26–37 Read article
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Comparative Study of LEACH and its Optimized Variants in Wireless Sensor Networks
Abstract: AbstractTo capture sensed data from different locations, Wireless sensor network (WSN) requires large number of sensors in the monitoring area. A sensor helps in sensing and forwarding data to an application data store but due to inadequate energy, preserving the network lifetime and its operation remains a major challenge in WSN. To overcome this challenge different clustering techniques are proposed in literature. LEACH is a primitive clustering technique from which …
Published in Journal of Communication Engineering & Systems · Vol. 9, Issue 1, 2019 · pp. 60–69 Read article
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Fuzzy C-Means
Abstract: AbstractFuzzy c-means (FCM) incorporates spatial information into the membership function for clustering and uses it for obtaining the enhanced image. The main aim of the project is to develop a user friendly graphical user interface, manipulate and retrieve the data and run models for routing application in terrain trafficability. In the classification process, first clustering is done which involves grouping similar pixels (or forming clusters) in the test image based …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 3, 2015 · pp. 10–16 Read article