An enhanced k-means clustering algorithm for pattern discovery in healthcare data حسب Haraty, Ramzi A.

"…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. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Improved search-tree algorithms for the cluster edit problem. (c2011) حسب Ghrayeb, Ali Kassem

احصل على النص الكامل
احصل على النص الكامل

Cluster-based anonymity model and algorithm for 1:1 dataset with a single sensitive attribute using machine learning technique حسب J. Jayapradha (21323774)

HIERARCHAL CLUSTERING ALGORITHM FOR LARGE XML DATA حسب unknown

احصل على النص الكامل

A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT حسب Dhananjay Bisen (19482454)

الموضوعات:

A Survey of Data Clustering Techniques حسب Sobeh, Salma

الموضوعات: "…Cluster analysis -- Data processing…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Clustering/partitioning algorithms and comparative analysis حسب Touma, Walid Rachid

الموضوعات: احصل على النص الكامل
احصل على النص الكامل

A Novel Iterative non-Deterministic Algorithm for the Data Clustering Problem حسب unknown

احصل على النص الكامل

DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data حسب Assaf, Ali

الموضوعات: احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Damage assessment & recovery from malicious transactions using data dependency for deffensive information warfare. (c2006) حسب Zeitunlian, Arda

احصل على النص الكامل
احصل على النص الكامل

A Data-Driven Decision-Making Framework for Fleet Management in the Government Sector of Dubai حسب ALGHANEM, HANI SUBHI MOHD

"…The proposed framework comprises key elements: Important Decisions derived from interviews with transportation leaders, Knowledge Management enhanced by AI algorithms, Data Mining/Analysis utilizing historical data, the Fleet Management System employing Oracle ERP, and a Data-Driven Decision Support Framework that leans towards the extended framework approach. …"
احصل على النص الكامل

Correlation Clustering with Overlaps حسب Fakhereldine, Amin

"…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. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Correlation Clustering via s-Club Cluster Edge Deletion حسب Makarem, Norma

الموضوعات: "…Cluster analysis -- Data processing…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering حسب Abu Zitar, Raed

الموضوعات: "…Data clustering…"

A SIMULATED ANNEALING ALGORITHM FOR THE CLUSTERING PROBLEM حسب Selim, S.Z.

"…In this paper we discuss the solution of the clustering problem usually solved by the K-means algorithm. …"
احصل على النص الكامل

NEW ALGORITHMS FOR SOLVING THE FUZZY CLUSTERING PROBLEM حسب Kamel, M.S.

"…Two new algorithms for fuzzy clustering are presented. Convergence of the proposed algorithms is proved. …"
احصل على النص الكامل

Multi-Cluster Jumping Particle Swarm Optimization for Fast Convergence حسب Atiq Ur Rehman (8843024)

الموضوعات:

Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations حسب Shameem A. Puthiya Parambath (14150997)

"…Here we propose a two-stage algorithm based on soft clustering to provide an efficient solution to this problem. …"

(k, l)-Clustering for Transactional Data Streams Anonymization حسب Tekli, Jimmy

"…We evaluate our algorithm in terms of utility by considering two different (k, l)-clustering approaches.…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm حسب Nasser, Youssef

"…Among these, K-means is widely used for efficiently solving clustering problems. This work aims to enhance the performance of the K-means algorithm by introducing a novel method for selecting the initial centroids, thereby minimizing randomness and reducing the number of iterations needed to reach optimal results. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل