Visualizing Multidimensional Data with General Line Coordinates and Pareto Optimization

J Brown - 2017 - digitalcommons.cwu.edu
These results will show that the use of Linear General Line Coordinates (GLC-L) can
visualize multidimensional data better than typical methods, such as Parallel Coordinates …

K-mean Index Learning for Multimedia Datasets

S Markchit - 2021 13th International Conference on Knowledge …, 2021 - ieeexplore.ieee.org
Currently, one method to deal with the storage and computation of multimedia retrieval
applications is an approximate nearest neighbor (ANN) search. Hashing algorithms and …

Methods for Multi-Objective Genetic Clustering of Time-Evolving Data

A Alleman - 2020 - search.proquest.com
Sequential batches of time-evolving data for a set of persistent identifiable entities (eg online
shopping behavior by month for a customer ID, or economic figures by year for a collection …

A simulation-based multi-criteria management system for optimal water supply under uncertainty

P Van Tinh - 2015 - tud.qucosa.de
Abstract (EN) For cost and reliability efficiency, optimal design and operation of pressurized
water distribution networks is highly important. However, optimizing such networks is still a …

[PDF][PDF] Fractal Image Compression Based on Multi-Objective Genetic Algorithm

PK Adakane, ON Thakur - researchgate.net
The use of social media, handheld devices like smart phones etc and other areas of
computer world are generating huge and further increasing amount of information which …

[PDF][PDF] HARAPAN KOTA PEKANBARU

Q ANZIR - core.ac.uk
Segala puji bagi Allah SWT yang telah memberikan taufik, hidayah, ilmu pengetahuan,
kesehatan dan kesempatan dalam penyelesaian Tugas Akhir ini. Tugas Akhir ini saya …

[PDF][PDF] KLASTERISASI & VISUALISASI GEOGRAFI TENTANG KRIMINALITAS KONVENSIONAL DENGAN METODE ALGORITMA K-MEANS MENGGUNAKAN R DI …

S Ma'arif, RP Kusumawardani, I Hafidz, S Kom - repository.its.ac.id
Kriminalitas adalah tindakan melanggar hukum yang membuat rakyat gelisah dan menjadi
isu tren pada saat ini. Kerugian yang ditimbulkan akibat kriminalitas tidak hanya materi dan …

Design a new Multiobjective Algorithm for Data lustering

K Chauhan, Y Kumar, SP Ghrera - 2019 - ir.juit.ac.in
Clustering is an unsupervised learning technique. It is a collection of objects that are
grouped together on the basis of distance measure. As the number of population increases …

Optimization Algorithms and the Clustering Problem.

N Abd-Alsabour - Grenze International Journal of …, 2018 - search.ebscohost.com
Optimization algorithms can play significant roles in enhancing and even changing the
performance of clustering algorithms since the clustering problem is an optimization …

[PDF][PDF] Analyses of the Multifractal Measure for Absorbing Ions on a Charged Lipid Membrane

K Kim - Citeseer
We investigate the first passage time and the multifractal for two kinds of absorbing ions, K+
and Na+, on a charged lipid membrane. We introduce the first passage time arriving for the …