Results 11 to 20 of about 1,172,362 (258)

Silhouette coefficient curve with the number of clusters (Hierarchical clustering).

, 2023
Silhouette coefficient curve with the number of clusters (Hierarchical clustering).
Dawei Xu (83739), Feng Gao (3548), Jian Zhao (219525), Jiaqi Gao (7108970), Liehuang Zhu (4861267)   +4 more
core   +1 more source

Customer segmentation using bisecting k-means algorithm based on recency, frequency, and monetary (RFM) model

Jurnal Teknologi dan Sistem Komputer, 2020
Information on customer loyalty characteristics in a company is needed to improve service to customers. A customer segmentation model based on transaction data can provide this information.
Novianti Puspitasari, Joan Angelina Widians, Noval Bayu Setiawan   +2 more
doaj   +1 more source

Pemetaan UMKM dalam Upaya Pengentasan Kemiskinan dan Penyerapan Tenaga Kerja Menggunakan Algoritma K-Means

Journal of Applied Informatics and Computing, 2022
Pandemi Covid menciptakan krisis ekonomi. Meningkatkan angka kemiskinan sebanyak dua digit dalam satu tahun di Indonesia. Pandemi Covid juga berdampak terhadap kondisi ketenagakerjaan Indonesia seperti mulai sulit mencari pekerjaan.
Herwinda Kurniadewi, Rijal Abdul Hakim, Mohamad Jajuli, Jajam Haerul Jaman   +3 more
doaj   +1 more source

Cluster Analysis of Environmental Pollution in Indonesia Using Complete Linkage Method with Elbow Optimization

JTAM (Jurnal Teori dan Aplikasi Matematika), 2023
The issue of environmental contamination remains unsolved. The problem continues to have a substantial detrimental impact. This research aimed to identify provinces in Indonesia with high or low levels of environmental pollution so that the government ...
Adelia Damayanti, Wika Dianita Utami, Dian Candra Rini Novitasari, Putroue Keumala Intan, Mohammad Lail Kurniawan   +4 more
doaj   +1 more source

py-temporal-silhouette-main.zip

, 2023
Data and codes to replicate evaluation experiments of the Temporal Silhouette index for the validation of stream clustering 
Felix Iglesias Vázquez (14670395)
core   +1 more source

Improve Hybrid Particle Swarm Optimization and K-Means for Clustering

JITeCS (Journal of Information Technology and Computer Science), 2019
. Potato production is strongly influenced by the selection of suitable land for crops. Criteria for land suitability of planting potatoes is influenced by climatic factors and land characteristics.
Yudha Alif Auliya, Wayan Firdaus Mahmudy, Sudarto Sudarto   +2 more
doaj   +1 more source

Clustering Flood Prone Areas in Deli Serdang Regency Using Density-Based Spatial Clustering Of Application With Noise (DBSCAN) Method

Desimal, 2023
Deli Serdang Regency is the most frequently flooded area in North Sumatra Province, causing many casualties and other losses to residents in flooded areas.
Nurmadani Nurmadani, Fibri Rakhmawati
doaj   +1 more source

Silhouette plot method.

, 2023
The vertical axis is the silhouette coefficient and the horizontal axis is the number of clusters. (PPTX)
Shinichi Yamaguchi (14376455), A. S. M. Waliullah (12800087), Ariful Islam (9286644), Fumihiro Eto (11721633), Yuko Hosokawa (403087), Mitsutoshi Setou (119915), Tomohito Sato (689206), Takumi Sakamoto (7379534), Chi Zhang (9857), Norihiko Shiiya (403089), Soho Oyama (15447546), Yutaka Takahashi (600869), Tomoaki Kahyo (189439), Satoshi Baba (540358), Daiki Takatsuka (15447549), Wenxin Li (9207), Kenji Kikushima (564521), Kei Koizumi (403085), Hiroyuki Ogura (403088), Katsumasa Nakamura (5941290), Shuhei Aramaki (12800090), Haruhiko Sugimura (245172), Shogo Tsuge (15447543)   +22 more
core   +1 more source

Identifikasi Predikat Hasil Pengelompokan Data Kualitas Udara dengan Menggunakan Affinity Propagation dan Silhouette Coefficient [PDF]

, 2022
Penelitian ini bertujuan untuk mengidentifikasi pengelompokan data kualitas udara dan mendapatkan predikat hasil pengelompokan kualitas data udara tersebut. Data yang digunakan adalah data kualitas udara Kota Pekanbaru yang diperoleh dari pengolahan data
Candra, Ade, Rahmah, Maulidya, Sembiring, Rahmat Widia   +2 more
core   +1 more source

ANALISA PRODUK YANG PALING DIMINATI PELANGGAN MENGGUNAKAN K-MEANS CLUSTERING DAN SILHOUETTE COEFFICIENT [PDF]

, 2021
KHAIRANI (2021):ANALISA PRODUK YANG PALING DIMINATI PELANGGAN MENGGUNAKAN K-MEANS CLUSTERING DAN SILHOUETTE COEFFICIENT Perusahaan adalah tempat terjadinya distribusi barang yang terus berkembang dan berinovasi yang menyebabkan banyaknya permintaan ...
KHAIRANI, -
core   +1 more source