Search alternatives:
method algorithm » mould algorithm (Expand Search)
data finding » data mining (Expand Search), data hiding (Expand Search)
method algorithm » mould algorithm (Expand Search)
data finding » data mining (Expand Search), data hiding (Expand Search)
-
1
Improved search-tree algorithms for the cluster edit problem. (c2011)
Published 2011Get full text
Get full text
masterThesis -
2
Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering
Published 2022Subjects: “…Data clustering…”
-
3
Correlation Clustering via s-Club Cluster Edge Deletion
Published 2023Subjects: “…Cluster analysis -- Data processing…”
Get full text
Get full text
Get full text
masterThesis -
4
-
5
A SIMULATED ANNEALING ALGORITHM FOR THE CLUSTERING PROBLEM
Published 2020“…In this paper we discuss the solution of the clustering problem usually solved by the K-means algorithm. …”
Get full text
article -
6
-
7
-
8
-
9
A Survey of Data Clustering Techniques
Published 2023Subjects: “…Cluster analysis -- Data processing…”
Get full text
Get full text
Get full text
masterThesis -
10
Clustering/partitioning algorithms and comparative analysis
Published 1989Subjects: Get full text
Get full text
masterThesis -
11
A Novel Iterative non-Deterministic Algorithm for the Data Clustering Problem
Published 2020Get full text
masterThesis -
12
An enhanced k-means clustering algorithm for pattern discovery in healthcare data
Published 2015“…This paper studies data mining applications in healthcare. Mainly, we study k-means clustering algorithms on large datasets and present an enhancement to k-means clustering, which requires k or a lesser number of passes to a dataset. …”
Get full text
Get full text
Get full text
Get full text
article -
13
DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data
Published 2022Subjects: Get full text
Get full text
Get full text
masterThesis -
14
-
15
A multi-class discriminative motif finding algorithm for autosomal genomic data. (c2015)
Published 2016“…Our algorithm first performs a feature selection step to define differentiable SNPs. …”
Get full text
Get full text
masterThesis -
16
Correlation Clustering with Overlaps
Published 2020“…Moreover, we allow the new vertex splitting operation, which allows the resulting clusters to overlap. In other words, data elements (or vertices) will be allowed to be members in more than one cluster instead of limiting them to only one single cluster, as in classical clustering methods. …”
Get full text
Get full text
Get full text
masterThesis -
17
NEW ALGORITHMS FOR SOLVING THE FUZZY CLUSTERING PROBLEM
Published 2020“…Two new algorithms for fuzzy clustering are presented. Convergence of the proposed algorithms is proved. …”
Get full text
article -
18
-
19
(k, l)-Clustering for Transactional Data Streams Anonymization
Published 2018“…We evaluate our algorithm in terms of utility by considering two different (k, l)-clustering approaches.…”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
20
Diagnostic structure of visual robotic inundated systems with fuzzy clustering membership correlation
Published 2023“…A cluster node is connected in each clustered region and provides the central control center with the necessary data. …”