Results 21 to 30 of about 1,172,362 (258)

Comparison of the K-Means method with and without Principal Component Analysis (PCA) in predicting employee resignation [PDF]

E3S Web of Conferences
Employees are individuals who work for a company or organization and receive a salary. Employees are the most important assets that need to be effectively managed by the company in order to maximize their contribution.
Binanto Iwan, Tumanggor Andrianto
doaj   +1 more source

Figure 5. Mean Silhouette Scores

, 2023
Mean silhouette coefficient plotted by segment solution across segmentation approaches, to determine relative performance, with the highest mean silhouette score representing better relative performance, in which more vertices were assigned to the ...
Julio A Peraza (13124538)
core   +1 more source

For each method, we show the silhouette coefficient of each node from every graphs, as well as corresponding centroids as larger circles.

, 2023
Each centroid (larger circles) is colored according to the average of the silhouette coefficient of corresponding nodes.
François-Xavier Dupé (17364494), Rohit Yadav (8206536), Guillaume Auzias (616230), Sylvain Takerkart (5659873)   +3 more
core   +1 more source

Figure 4. Mean Silhouette, Variance Ratio, and Cluster Separation Scores

, 2023
Mean silhouette coefficient, variance ratio, and cluster separation plotted by segment solution across segmentation approaches to determine relative performance, with the highest mean silhouette score, highest variance ratio, and lowest cluster ...
Julio A Peraza (13124538)
core   +1 more source

Aplikasi Analisis Segmentasi Pelanggan untuk Menentukan Strategi Pemasaran Menggunakan Kombinasi Metode K-Means dan Model RFM

Sistemasi: Jurnal Sistem Informasi, 2021
Abstrak Selain harus bersaing dengan dealer lain, kenjeran Auto2000 juga harus bersaing dengan cabang Auto2000 lainnya. Salah satu strategi yang digunakan untuk memenangkan persaingan adalah melalui penerapan segmentasi pelanggan.
Ahmad Febri, Norma Ningsih, Julianto Lemantara   +2 more
doaj   +1 more source

Silhouette-based gait recognition using Procrustes shape analysis and elliptic Fourier descriptors [PDF]

, 2012
This paper presents a gait recognition method which combines spatio-temporal motion characteristics, statistical and physical parameters (referred to as STM-SPP) of a human subject for its classification by analysing shape of the subject's silhouette ...
Tjahjadi, Tardi, Das Choudhury, Sruti
core   +1 more source

Classification and Identification Method of Power Equipment for Industrial Users Based on Harmonic Emission Level

Zhongguo dianli, 2021
With the rapid development of the power Internet of Things, clarification of user load status are significant for improving the quality of power supply service, power price decision-making, demand-side response, and paid precise services.
Xingang YANG, Peng ZHANG, Yang DU, Aiqiang PAN, Qin XU   +4 more
doaj   +1 more source

K-Means Clustering with KNN and Mean Imputation on CPU Benchmark Compilation Data

Journal of Applied Informatics and Computing, 2023
In the rapidly evolving digital age, data is becoming a valuable source for decision-making and analysis. Clustering, as an important technique in data analysis, has a key role in organizing and understanding complex datasets.
Rofiq Muhammad Syauqi, Puspita Nurul Sabrina, Irma Santikarama   +2 more
doaj   +1 more source

Developed Density Peak Clustering With Support Vector Data Description for Access Network Intrusion Detection

IEEE Access, 2018
Access network intrusion detection (ANID) is an indispensable role in guaranteeing information security, in which data-classification is a key operating procedure.
Chongfu Zhang, Ming Ni, Haiming Yin, Kun Qiu   +3 more
doaj   +1 more source

Calibration of hydrological models for ungauged catchments by automatic clustering using a differential evolution algorithm: The Gorganrood river basin case study

Journal of Hydroinformatics, 2023
The hydrological model calibration is a challenging task, especially in ungauged catchments. The regionalization calibration methods can be used to estimate the parameters of the model in ungauged sub-catchments.
Zahra Alizadeh, Jafar Yazdi
doaj   +1 more source