Evaluation of spatial-temporal distribution of precipitation in mainland China by statistic and clustering methods

H Jin, X Chen, P Wu, C Song, W Xia - Atmospheric Research, 2021 - Elsevier
Precipitation in China has a sharply uneven spatial-temporal distribution, which has caused
serious droughts and heavy floods in China. Using statistic and K-means clustering …

Perbandingan analisis klaster k-means dan average linkage untuk pengklasteran kemiskinan di provinsi jawa tengah

D Widyadhan, RB Hastuti, I Kharisudin… - PRISMA, Prosiding …, 2021 - journal.unnes.ac.id
Kemiskinan mendefinisikan suatu kondisi dimana ketidakmampuan untuk memenuhi
kelangsungan hidup minimum. Kemiskinan merupakan persoalan multi dimensi, dan …

[PDF][PDF] Hyperspectral image processing in internet of things model using clustering algorithm

V Bindhu, G Ranganathan - Journal of ISMAC, 2021 - scholar.archive.org
With the advent of technology, several domains have b on Internet of Things (IoT). The hyper
spectral sensors present in earth observation system sends hyper spectral images (HSIs) to …

A Hybrid Prediction Model for CatBoost Tomato Transpiration Rate Based on Feature Extraction

Z Tong, S Zhang, J Yu, X Zhang, B Wang, W Zheng - Agronomy, 2023 - mdpi.com
The growth and yield of crops are highly dependent on irrigation. Implementing irrigation
plans that are tailored to the specific water requirements of crops can enhance crop yield …

A sparse framework for robust possibilistic k-subspace clustering

S Zeng, X Duan, H Li, J Bai, Y Tang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Clustering noisy, high-dimensional, and structurally complex data have always been a
challenging task. As most existing clustering methods are not able to deal with both the …

A framework to assess the dynamics of climate extremes on irrigation water requirement using machine learning techniques

RK Jaiswal, AK Lohani - Journal of Earth System Science, 2023 - Springer
A methodological framework has been proposed that consists of six different modules to
compute and analyze the dynamics of climate-related extremes on irrigation water …

Hybrid YSGOA and neural networks based software failure prediction in cloud systems

R Kaur, R Vaithiyanathan - Scientific Reports, 2024 - nature.com
In the realm of cloud computing, ensuring the dependability and robustness of software
systems is paramount. The intricate and evolving nature of cloud infrastructures, however …

Similarity Measurement for Graph Data: An Improved Centrality and Geometric Perspective-Based Approach

L Deng, S Liu, W Xu, X Lin - Big Data Research, 2024 - Elsevier
How to make a precise similarity measurement for graph data is considered as highly
recommended research in many fields. Hereinto, the so-named graph data is the coalition of …

Introduction to Data Mining and Knowledge Discovery

S Chakraborty, SKH Islam, D Samanta - Data Classification and …, 2022 - Springer
Data mining is a process of discovering some necessary hidden patterns from a large chunk
of data that can be stored in multiple heterogeneous resources. It has an enormous use to …

Noise-tolerant clustering via joint doubly stochastic matrix regularization and dual sparse coding

Z Shi, J Liu - Expert Systems with Applications, 2023 - Elsevier
Clustering has received a lot of attention and research in many important fields, such as
machine learning and data mining. Especially, the clustering method based on non-negative …