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136 articles for “cluster analysis”
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Machine Learning Cluster Analysis for Large Categorical Data Using R Programming
Abstract: AbstractThis review paper clearly discusses the compression between various types of cluster analysis of large categorical data sets. Although there is large gap between the choice of cluster analysis for large data in research design. Its primary purpose is to explain the simplest way of clustering analysis whose data structure were wide scattered using R software whose outputs were sufficiently explain with various intermediate output and graphical interpretation to reach …
Published in Recent Trends in Programming languages · Vol. 6, Issue 2, 2019 · pp. 23–34 Read article
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Effects of Cluster Computing on Big Data Analysis and Network Topology
Abstract: The rapid expansion of big data has posed substantial difficulties for conventional computing systems. As a result, cluster computing has grown to be a potent method for effective large data processing. Cluster computing involves multiple interconnected nodes functioning as a unified system, pooling together their processing, storage, and memory resources. These nodes are typically connected through high-speed networks such as ethernet or InfiniBand, facilitating efficient data sharing and communication among …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 1, 2023 · pp. 31–39 Read article
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Genetic Diversity Studies of Eggplant (Solanum melongena L.) Genotypes
Abstract: Twenty-two genotypes of eggplant were evaluated to assess the genetic diversity within the genotypes at Horticulture Research Centre (HRC) field, Regional Agricultural Research Station (RARS), Bangladesh Agricultural Research Institute (BARI), Jamalpur, Bangladesh during the winter season of 2013-2014. Genetic diversity among 22 eggplant genotypes was estimated using Mahalanobis’s D2 statistic. Altogether five clusters were formed. Cluster II enclosed the highest number of genotypes (6) and cluster IV contained the lowest …
Published in Research & Reviews : Journal of Botany · Vol. 8, Issue 1, 2019 · pp. 42–57 Read article
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Performance Analysis of Hierarchical and Non Hierarchical Clustering Techniques
Abstract: Clustering is a procedure to organizing the objects in to groups or clustered together, based on the principle of minimizing the intra-class similarity. The various clustering algorithms are analyzed and compare the performance of clustering algorithms on aspect for validity indices to build the model. The aim is to judge the efficiency of different clustering techniques on wine dataset and determine the optimum algorithm. The results show that complete linkage …
Published in Research & Reviews : Journal of Statistics · Vol. 9, Issue 2, 2020 · pp. 54–71 Read article
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Performance Analysis of Clustering Network Using Enhanced DEC Protocol for WSN
Abstract: Each node of a wireless sensor network (WSN) is connected to several other sensors. These sensor nodes can be deployed in dense for monitoring variety and wide range of applications. There are different types of protocols in WSN used to route the packets from source to destination. They are data-centric, hierarchical, and location-based and network flow and quality of service. To manage the energy consumption of WSN, one of the …
Published in Journal Of Network security · Vol. 4, Issue 1, 2016 · pp. 23–31 Read article
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Entropy of Network Analysis and Cluster Detection Using Markov Theory
Abstract: Networks square measure an important part of nature and society; nonetheless several aspects of networks operate square measure still mostly unknown. from understanding the networks play a task; however even a small number of the foremost basic questions about networks will be troublesome to answer. Nevertheless, square measure two networks alike or different? However, do networks within networks type and the way will clusters be detected? As networks have amendment …
Published in Journal Of Network security · Vol. 6, Issue 3, 2018 · pp. 1–4 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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Fast Data Analysis Technique by Compact Clustering
Abstract: In this paper, a new clustering theory is established under the context to analyze the data. Data analysis is a challenging task. The proposed method transforms it into easier. The classical clustering method defines over the probability to design the proposed algorithm in this paper. The data structure sets as the dynamic structure for mapping the optimized and compact analysis.Keywords: Data, Probability, Cluster, Data, Algorithm.Cite this Article: Sunil Kumar Kashyap, …
Published in Journal of Advanced Database Management & Systems · Vol. 7, Issue 2, 2020 · pp. 19–23 Read article
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Evaluation and Morphological Diversity Study of Plantain (Musa paradisiaca L.) Genotypes at Jamalpur Region of Bangladesh
Abstract: A study to evaluate the performance of yield and yield contributing characters and morphological diversity of plantain genotypes, was conducted at the fruit farm and fruit characteristics were studied in the laboratory of the Horticulture Research Centre, Regional Agricultural Research Station (RARS), Bangladesh Agricultural Research Institute (BARI), Jamalpur, Bangladesh during March 2013 to April 2014. Sixteen plantain genotypes viz. BARI Kola-2, ITC-1418, Local-1, Local-2, MP-1, MP-15, MP-18, MP-2, MP-24, MP-25, …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 8, Issue 1, 2019 · pp. 13–23 Read article
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A Latest Approach for Crime Rate Prediction and Analysis by Using the Clustering and Machine Learning Algorithm
Abstract: In our daily life, the collection and analysis of crime-related data is uncertain from a security perspective. Crime rate forecasting and analysis is a way of identifying and analyzing crime patterns in crime data contained in a crime database. Our system predicts what criminal activity occurs in everyday life in various parts of the world. Through the utilization of machine learning and data mining algorithms, it is possible to forecast …
Published in Journal Of Network security · Vol. 11, Issue 2, 2023 · pp. 32–42 Read article
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Comparative Analysis of Proposed FCM Clustering Integrated Enhanced Firefly-Optimized Algorithm (En-FAOFCM) for MR Image Segmentation and Performance Evaluation
Abstract: Image segmentation has a significant responsibility in diagnosis and treatment of diseases. To scan patients and determine the severity of certain injuries in hospitals, magnetic resonance imaging (MRI) method is normally used. This paper emphasizes on comparative study of segmentation techniques for segmenting MRI brain images. In this regard, to group the pixels of images in the intensity space, unsupervised clustering techniques are used. Here enhanced firefly algorithm is used …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 1, 2016 · pp. 32–44 Read article
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Comparative Analysis of Distributed Energy Efficient Clustering Protocols in Heterogeneous Wireless Sensor Network
Abstract: Wireless Sensor Networks have huge applications in the area of military, health and infrastructure protection etc. The various features of WSN such as dynamic topology, application specific and self configurable made it to be application to vast areas, but a limitation is also there which is power constraint nature of WSNs. There evolved many transmission approached to estimate cost of energy consumption in WSNs, out of which cluster based scheme …
Published in Journal Of Network security · Vol. 8, Issue 2, 2020 · pp. 1–7 Read article
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Asynchronous Check pointing Protocols for Cluster Based MANETs: A Comparative Analysis
Abstract: The recent advancement in the field of wireless networking and mobile computing has led to the development of variety of applications for wireless networks. Mobile Ad Hoc Networks (MANETs) are emerging as one of the major wireless technology in the field of mobile computing. A MANET is a group of mobile devices or nodes that are self-configurable and can communicate using wireless links. The nodes of such a network have …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 2, Issue 3, 2015 · pp. 19–25 Read article
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Scalability Analysis of Semantic Relational Key Terms based Document Clustering Using Parsing Text Calcification
Abstract: Abstract: Document agglomeration, one among the standard info mining ways, is an unsupervised learning worldview wherever agglomeration techniques endeavor to tell apart-inborn groupings of the text documents, with the goal that a meeting of clusters is made during which clusters show high intra-cluster closeness and low bury cluster likeness. The importance of document agglomeration rises out of the big volumes of matter documents created. Albeit varied document agglomeration techniques are …
Published in Recent Trends in Programming languages · Vol. 6, Issue 3, 2019 · pp. 33–40 Read article
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Evaluation and Morphological Diversity Study of Table Banana (Musa spp.) Genotypes at Jamalpur Region of Bangladesh
Abstract: Twenty-one table banana genotypes viz. Amrit Sagar, BARI Kola-1, Basrai, Binisuta, Champa, Dudsagar, Ganasundari, Grandnaine, ITC-1262, ITC-1310, ITC-1319, ITC-1320, ITC-1332, ITC-1441, ITC-570, Kabri, Kanaibashi, Lakatan, Madna, Sabri, and Sagar, were studied to evaluate the performance of yield and yield contributing characters and morphological diversity at the fruit farm and fruit characteristics were studied in the laboratory of the Horticulture Research Centre, Regional Agricultural Research Station (RARS), Bangladesh Agricultural Research Institute …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 9, Issue 2, 2019 · pp. 13–24 Read article
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Implementation of K-Means clustering algorithm with technical indicators to identify Profitable stocks
Abstract: In the ever-changing world of stock market trading, accurately predicting price movements is key to maximizing profits. Technical analysis, which looks at past price data to predict future trends, provides valuable insights for investors. This paper delves into using machine learning methods, particularly the K-Means clustering algorithm, along with moving average data, to categorize daily trading patterns. By breaking down the market into clusters and examining the main patterns within …
Published in Current Trends in Signal Processing · Vol. 13, Issue 3, 2023 · pp. 8–14 Read article
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Principal Component Analysis of Black and Brown Seeded Soybean (Glycine max (L.) Merr.) Genotypes at Jimma and Bonga Southwestern Ethiopia
Abstract: Sixty-four soybean genotypes were evaluated for cluster analysis based on their morphological characters. The field experiment was carried out at Jimma and Bonga in south-western Ethiopia during the main cropping season of 2019. The experimental study was laid with simple lattice design with two replications. Data on 11 quantitative agronomic traits were gathered. For all of the examined variables, analysis of variance revealed substantial to very significant variations among genotypes. …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 12, Issue 2, 2023 · pp. 13–17 Read article
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Genetic Diversity of Wheat (Triticum aestivum L.) Germplasm
Abstract: The present investigation was conducted to examine the genetic diversity existing among 30 genotypes of wheat. The experimental design used was randomized block design having four replications. The study revealed wide range of variability and high heritability for all the traits. High estimates of genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) were observed for number of tillers per plant and yield per plant. High heritability coupled …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 2, Issue 2, 2013 · pp. 26–36 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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Country Cluster Visualization Based on Agricultural Imports: Unsupervised Learning Approach
Abstract: The clustering algorithm used in this analysis makes it easier for policymakers to understand performance metrics. K-means clustering has been demonstrated to be a tool for analyzing countries' agricultural imports and a visualization tool for interpreting the results in this study. Authors have used agricultural imports from 190 nations from Knoema, a web-based open data platform. Cereals, meat, and coffee imports from 190 nations in 2016 are included in the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 1–7 Read article