Search Results - (( java implication based algorithm ) OR ( knowledge validation clustering algorithm ))
Search alternatives:
- validation clustering »
- knowledge validation »
- implication based »
- java implication »
-
1
Efficient genetic partitioning-around-medoid algorithm for clustering
Published 2019“…These algorithms mostly built upon the partitioning k-means clustering algorithm. …”
Get full text
Get full text
Thesis -
2
Algorithm Development of Bidirectional Agglomerative Hierarchical Clustering Using AVL Tree with Visualization
Published 2024thesis::doctoral thesis -
3
Biological-based semi-supervised clustering algorithm to improve gene function prediction
Published 2011“…However, commonclustering algorithms do not provide a comprehensive approach that look into the three categories of annotations; biologicalprocess, molecular function, and cellular component, and were not tested with different functional annotation database formats.Furthermore, the traditional clustering algorithms use random initialization which causes inconsistent cluster generation and areunable to determine the number of clusters involved. …”
Get full text
Get full text
Article -
4
On density-based data streams clustering algorithms: A survey
Published 2017“…Moreover, we investigate the evaluation metrics used in validating cluster quality and measuring algorithms’ performance. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
5
Datasets Size: Effect on Clustering Results
Published 2013“…The clustering results were validated using external evaluation measure in order to determine their level of correctness. …”
Get full text
Get full text
Conference or Workshop Item -
6
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 -
7
Centre based evolving clustering framework with extended mobility features for vehicular ad-hoc networks
Published 2021“…Moreover, relying on the non-valid assumptions such as the nature of the spherical cluster and the pre-knowledge about the number of clusters may not be feasible in many cases. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
8
Constrained clustering approach to aid in remodularisation of object-oriented software systems / Chong Chun Yong
Published 2016“…These practical concerns have led the researcher to propose the idea of integrating domain knowledge into traditional unsupervised clustering algorithms, herewith referred as constrained clustering, a semi-supervised clustering technique where domain experts can explicitly exert their opinions in the form of explicit clustering constraints to restrict whether a pair of software components should or should not be clustered into the same subsystem. …”
Get full text
Get full text
Thesis -
9
Electricity load profile determination by using fuzzy C-means and probability neural network / Norhasnelly Anuar
Published 2015“…The objectives of this project are to use FCM as the clustering algorithm to establish TLPs. The optimal number of cluster for FCM is obtained through cluster validity analysis. …”
Get full text
Get full text
Thesis -
10
Exploring clusters of rare events using unsupervised random forests
Published 2022“…Given highly imbalanced data, most learning algorithms face the challenge of accurately predicting rare events, while such cases are the ones that carry importance and useful knowledge. …”
Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
11
Identifying clusters structure of rare events using random forest clustering
Published 2021“…Given highly imbalanced data, most learning algorithms faced the challenge to accurately predict rare events, while such cases were the ones that carry importance and useful knowledge. …”
Get full text
Get full text
Get full text
Get full text
Proceedings -
12
Implementation of Hybrid Indexing, Clustering and Classification Methods to Enhance Rural Development Programme in South Sulawesi
Published 2024“…The Fuzzy Tsukamoto and Smallest of Maximum methods were then used to classify villages into less development, which involved CSLI-Clusters as indicators. Using the cosine similarity algorithm for knowledge recommendation is village identified, utilizing community feedback as the foundation. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
13
Development of Web services fuzzy quality models using data clustering approach
Published 2014“…This paper presents the fuzzy clustering of web services' quality of service (QoS) data using Fuzzy C-Means (FCM) algorithm. …”
Get full text
Get full text
Article -
14
New filtering framework for web personalization search / Anitawati Mohd Lokman and Aishah Ahmad
Published 2012“…The first survey is for data collection and the second survey is for validation of the filtering framework. This research presents new knowledge to enhance search result and contribute to the body of knowledge in Mathematics and Computing area. …”
Get full text
Get full text
Research Reports -
15
-
16
-
17
-
18
Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
19
A framework for automatic modelling of survival using fuzzy inference.
Published 2012“…In this framework, alternative methods of partitioning the input space can be selected to define the membership functions, for example by using expert knowledge, equalizer partitioning, fuzzy c-means clustering, or the combination of these techniques. …”
Get full text
Get full text
Conference or Workshop Item