Search Results - (( developing outlier detection algorithm ) OR ( java application optimization algorithm ))
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Outlier detection in circular regression model using minimum spanning tree method
Published 2019“…Therefore, this study aims to develop new algorithms that can detect outliers by using the minimum spanning tree method. …”
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Automatic filtering of far outliers in multibeam echo sounding dataset using robust detection algorithms
Published 2005“…This paper elaborates the techniques used for the detection and elimination of the far outliers in the MBES dataset, known as robust detection algorithms. …”
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The effect of different similarity distance measures in detecting outliers using single-linkage clustering algorithm for univariate circular biological data
“…Clustering algorithms can be used to create an outlier detection procedure in univariate circular data. …”
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Outlier Detection Technique in Data Mining: A Research Perspective
Published 2005“…Most methods in the early work that detects outliers independently have been developed in field of Statistics. …”
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5
The Multiple Outliers Detection using Agglomerative Hierarchical Methods in Circular Regression Model
Published 2017“…Two agglomerative hierarchical clustering algorithms for identifying multiple outliers in circular regression model have been developed in this study. …”
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Improved robust estimator and clustering procedures for multivariate outliers detection
Published 2023“…Hence, the main objective of this study is to propose a robust estimator in order to develop an improved procedure for detecting outliers in multivariate data using robust clustering-based methods. …”
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Outlier detection in circular regression model using minimum spanning tree method
Published 2019“…Therefore, this study aims to develop new algorithms that can detect outliers by using minimum spanning tree method. …”
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Dynamic Robust Bootstrap Algorithm for Linear Model Selection Using Least Trimmed Squares
Published 2009“…We modified the classical bootstrapping algorithm by developing a mechanism based on the robust LTS method to detect the correct number of outliers in the each bootstrap sample. …”
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9
Robust diagnostics and variable selection procedure based on modified reweighted fast consistent and high breakdown estimator for high dimensional data
Published 2022“…Therefore, the robust location and covariance matrix based on the MRFCH is used instead of the classical estimators to tackle these problems. The proposed algorithm has been applied to detect outliers in the high dimensional data. …”
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10
An Evolutionary Stream Clustering Technique for Outlier Detection
Published 2020“…Later, this algorithm will be extended to optimize the model in detecting outlier on data streams. …”
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Parameter estimation and outlier detection for some types of circular model / Siti Zanariah binti Satari
Published 2015“…Lastly, we consider the problem of detecting multiple outliers in circular regression models based on the clustering algorithm. …”
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12
Abnormalities detection in apert syndrome using hierarchical clustering algorithms
Published 2025“…There are 12 skull angles and these angles are analysed using hierarchical clustering algorithms for identifying the outliers or abnormalities. …”
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3D face registration across pose variation and facial expression using cross profile alignment
Published 2011“…Most of the presented nose tip detection algorithms were developed merely based on the assumption that the nose tip is the highest point on a face, which is not robust enough for face model under large rotation variation and having large facial outliers. …”
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14
Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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15
Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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Dynamic intrusion detection method for mobile ad hoc network using CPDOD algorithm
Published 2010“…In this paper, we propose a novel intrusion detection method by combining two anomaly methods Conformal Predictor k-nearest neighbor and Distancebased Outlier Detection (CPDOD) algorithm. …”
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Design and analysis of management platform based on financial big data
Published 2023“…Traditional financial accounting will become limited by new technologies which are unable to meet the market development. In order to make financial big data generate business value and improve the information application level of financial management, aiming at the high error rate of current financial data classification system, this article adopts the fuzzy clustering algorithm to classify financial data automatically, and adopts the local outlier factor algorithm with neighborhood relation (NLOF) to detect abnormal data. …”
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Robust estimation methods for fixed effect panel data model having block-concentrated outliers
Published 2019“…To rectify this problem, the RWGM with RDF and RWGM with DRGP are developed by integrating the RDF and existing Diagnostic Robust Generalized Potential (DRGP); respectively, into the algorithm of GM-estimator. …”
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