Results 31 to 40 of about 15,127 (194)

Study and implementation of approximate DBSCAN density clustering

, 2023
openIl clustering è una primitiva di machine learning non supervisionato che consiste nel raggruppare oggetti simili in insiemi omogenei, chiamati cluster. Tali insiemi vengono creati in modo tale che gli oggetti appartenenti allo stesso cluster abbiano
CAZZADOR, LORENZO
core  

E-DBSCAN: An evidential version of the DBSCAN method

, 2020
International audienceIn later years, data have grown enormously and dealing with them to extract information has become a necessity. Data mining is a subfield of both computer science and statistics that aim to extract useful information in a ...
Bessrour, Malek, Zied Elouedi, Lefevre, Eric, Elouedi, Zied, Eric Lefevre, Malek Bessrour   +5 more
core   +1 more source

Comparison of Clustering Algorithms: Fuzzy C-Means, K-Means, and DBSCAN for House Classification Based on Specifications and Price

Journal of Applied Informatics and Computing
This study aims to compare the performance of three clustering algorithms, namely Fuzzy C-Means, K-Means, and DBSCAN, in grouping houses based on their specifications and prices.
Dhendy Mardiansyah Putra, Ferian Fauzi Abdulloh   +1 more
doaj   +1 more source

Analysis of Earthquake Activity in Indonesia by Clustering Method

Journal of Physics: Theories and Applications, 2021
Indonesia is an area where three large tectonic plates meet, namely the Indo-Australian, Eurasian and Pacific plates, so that Indonesia is included in the earthquake-prone category, with 11,660 earthquake vibrations identified in the Meteorology ...
Adi Jufriansah, Yudhiakto Pramudya, Azmi Khusnani, Sabarudin Saputra   +3 more
doaj   +1 more source

DSets-DBSCAN: A Parameter-Free Clustering Algorithm

, 2016
Clustering image pixels is an important image segmentation technique. While a large amount of clustering algorithms have been published and some of them generate impressive clustering results, their performance often depends heavily on user-specified ...
Gao, Huijun (hjgao@hit.edu.cn), Gao, Huijun, Hou, Jian, Li, Xuelong   +3 more
core   +1 more source

Person Reidentification pada Sistem Surveillance Cerdas Menggunakan Metode Bag of Visual Feature

Jurnal Nasional Teknik Elektro dan Teknologi Informasi, 2020
Sistem pengawasan berbasis CCTV telah banyak digunakan untuk memantau tempat umum, sehingga keamanan dan kenyamanan lebih terjamin. Salah satu permasalahan pada proses pengawasan adalah mengidentifikasi objek manusia pada kamera CCTV yang berbeda, yang ...
Muhammad Yusuf Manshur, Wahyono
doaj   +1 more source

Faster DBScan and HDBScan in Low-Dimensional Euclidean Spaces [PDF]

, 2017
We present a new algorithm for the widely used density-based clustering method DBScan. Our algorithm computes the DBScan-clustering in O(n log n) time in R^2, irrespective of the scale parameter \eps, but assuming the second parameter MinPts is set to a ...
Ade Gunawan, A., de Berg, Mark, Roeloffzen, Marcel, de Berg, M.T.; id_orcid, Gunawan, Ade, Roeloffzen, M.J.M.   +5 more
core   +2 more sources

SEGMENTASI PENGGUNA E-WALLET DENGAN MENGGUNAKAN METODE DBSCAN (DENSITY BASED SPATIAL CLUSTERING APPLICATION WITH NOISE) DI KOTA MEDAN

Jurnal Lebesgue, 2023
The purpose of this research is to classify digital wallet users in the city of Medan using the DBSCAN method. The research method used in this study is the method of analysis. The sampling technique uses the Quota sampling technique.
Nurjannah Nasution, Fibri Rakhmawati
doaj   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Multiplexed Profiling of Individual Extracellular Vesicles Reveals Lung Cancer‐Associated Protein Signatures

Advanced Science, EarlyView.
Cygnus (Cyclic‐imaging gateway to nanovesicles underlying signature) integrates multiplexed single‐EV protein imaging with a practical analysis workflow to examine EV phenotypes at vesicle, subpopulation, and sample scales. ABSTRACT Lung cancer is frequently diagnosed after curative treatment windows have narrowed, creating a need for minimally ...
Mi Hyeon Cho, Yein Chung, Yoonjeong Choi, Baekdong Cha, Jayeon Song, Nuri Oh, Ala Jo, Thomas S. C. Ng, Hyunho Kim, Hyun‐Kyung Woo, Chang Hyun Kim, Cesar M. Castro, Miles A. Miller, Hakho Lee   +13 more
wiley   +1 more source