Search Results - (( based application testing algorithm ) OR ( _ application clustering algorithm ))*
Search alternatives:
- application clustering »
- application testing »
- based application »
- testing algorithm »
-
1
-
2
Data clustering using the bees algorithm
Published 2007Get full text
Get full text
Conference or Workshop Item -
3
Parallelization of noise reduction algorithm for seismic data on a beowulf cluster
Published 2010Get full text
Get full text
Citation Index Journal -
4
Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms
Published 2005“…In cluster labelling process, a cluster labelling algorithm based on calculation of minimum-distance (MD) between cluster mean and class mean was developed to label the clusters. …”
Get full text
Get full text
Thesis -
5
Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
Get full text
Get full text
Thesis -
6
Spatial Clustering Algorithm for Time Series Rainfall Data Using X-Means Data Splitting
Published 2017“…The performance of the clustering algorithm gets even worse if it relies on actual data and many clustering algorithms are often faced with conflict in handling high dimensional data. …”
Get full text
Get full text
Get full text
Article -
7
Web based clustering tool using K-MEAN++ algorithm / Muhammad Nur Syazwanie Aznan
Published 2019“…Which is why this project objective is to develop a web based clustering tool using K-MEAN++ algorithm. This project will use the rapid application development (RAD) methodology since this are the most suitable method for developing the system. …”
Get full text
Get full text
Thesis -
8
Fuzzy rank cluster top k Euclidean distance and triangle based algorithm for magnetic field indoor positioning system
Published 2021“…Then, we create a rank cluster algorithm where we match the top 10 ranks RPs with the nearest Euclidean distance to the TP with the RPs cluster. …”
Get full text
Get full text
Get full text
Article -
9
Partitional clustering algorithms for highly similar and sparseness y-short tandem repeat data / Ali Seman
Published 2013“…A One-Way ANOVA test also indicated that the clustering accuracy scores of &-AMH algorithm was significantly different as compared to the other eight partitional algorithms. …”
Get full text
Get full text
Thesis -
10
-
11
Development Of Fall Risk Clustering Algorithm In Older People
Published 2020Get full text
Get full text
Final Year Project / Dissertation / Thesis -
12
-
13
Enhanced AI-based anomaly detection method in the intrusion detection system (IDS) / Kayvan Atefi
Published 2019“…Despite attempts to solve the data clustering issues, there are also many variants of modified algorithms in traditional information clustering that attempt to solve issues such as clustering algorithms based on condensation. …”
Get full text
Get full text
Thesis -
14
Modeling and Analysis of New Hybrid Clustering Technique for Vehicular Ad Hoc Network
Published 2023“…Many researchers have proposed algorithms to improve the network performance of vehicular ad hoc network (VANET) clustering techniques for different applications. …”
Article -
15
Support Vector Machines (SVM) in Test Extraction
Published 2006“…This project's objective is to create a summarizer, or extractor, based on machine learning algorithms, which are namely SVM and K-Means. …”
Get full text
Get full text
Final Year Project -
16
Support Vector Machines (SVM) in Test Extraction
Published 2006“…This project's objective is to create a summarizer, or extractor, based on machine learning algorithms, which are namely SVM and K-Means. …”
Get full text
Get full text
Final Year Project -
17
-
18
-
19
-
20
Methodology for modified whale optimization algorithm for solving appliances scheduling problem
Published 2020“…In order to achieve the objectives, different initialization strategy and cluster-based approaches will be used for tuning the main parameter of WOA under different MapReduce application which helps to control exploration and exploitation, and the proposed model will be tested on a set of well-known test functions and finally, will be applied on a real case project i.e. appliances scheduling problem. …”
Get full text
Get full text
Get full text
Article
