Results 111 to 120 of about 17,769,086 (225)

k-means- ja k-means++-algoritmien teoreettinen tarkastelu

, 2020
Tutkielmassa tarkastellaan teoreettisesta näkökulmasta katsottuna kahta koneoppimisialgoritmia; k-means- ja k-means++. Tarkasteltavat menetelmät ovat klusterointialgoritmejä. Aluksi k-means-algoritmia tarkastellaan esimerkin ja kuvien avulla sekä esitellään SSE-ongelma, jonka k-means-algoritmi ratkaisee minimoilla sen kustannusfunktion arvon.
openaire   +1 more source

Penerapan Metode K-Means Untuk Clustering Mahasiswa Berdasarkan Nilai Akademik Dengan Weka Interface Studi Kasus Pada Jurusan Teknik Informatika UMM Magelang

Semesta Teknika, 2016
The selection process among outstanding students in a department has a big problem. This process is not fair because only involve one criteria and ignore the other criteria.
Asroni Asroni, Ronald Adrian
doaj  

A review of unsupervised k-value selection techniques in clustering algorithms

Journal of Industrial Engineering and Management
Purpose: Automatic grouping of data according to certain characteristics is made possible by clustering algorithms, which makes them an essential tool when working with large datasets. However, although they are unsupervised tools, they generally require
Ana Pegado-Bardayo, Antonio Lorenzo-Espejo, Jesús Muñuzuri, Alejandro Escudero-Santana   +3 more
doaj   +1 more source

Face detection based on K-medoids clustering and associated with convolutional neural networks

Heliyon
Over the last several years, the COVID-19 epidemic has spread over the globe. People have become used to the novel standard, which involves working from home, chatting online, and keeping oneself clean, to stop the spread of COVID-19.
Potharla Ramadevi, Raja Das
doaj   +1 more source

Klustering Dengan K-Means Berbasis LVQ Dan K-Means Berbasis OWA

Jurnal Teknologi Informasi dan Ilmu Komputer, 2015
Dian Eka Ratnawati, Indriati .
doaj   +1 more source

MODIFIKASI K-MEANS BERBASIS ORDERED WEIGHTED AVERAGING (OWA) UNTUK KASUS KLASTERING

Agrointek, 2016
K-means clustering method based on Ordered Weighted Averaging (OWA) was developed by Cheng et al (2009) to resolve problem in classification using integrating k-means clustering and OWA.
Millatul Ulya Millatul Ulya
doaj  

Implementasi K-Means

, 2018
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openaire   +1 more source

Enhancing the performance of gradient boosting trees on regression problems

Journal of Big Data
Gradient Boosting Trees (GBT) is a powerful machine learning technique that is based on ensemble learning methods that leverage the idea of boosting. GBT combines multiple weak learners sequentially to boost its prediction power proving its outstanding ...
Lydia Wahid Rizkallah
doaj   +1 more source

K-Means Community Detection Algorithm Based on Density Peaks. [PDF]

Entropy (Basel)
Gao H, Han J, Liu Y, Zhang P, Yang B, Zu Y, Liu F, Qian Y.   +7 more
europepmc   +1 more source

A hybrid AHP and K-means model for biopsychosocial surgical prioritization: validation in a high-complexity ENT unit. [PDF]

Clinics (Sao Paulo)
Silva-Aravena F, Morales J, D'Afonseca V.   +2 more
europepmc   +1 more source