Big Data Analytics Model for Distributed Document Using Hybrid Optimization with K-Means Clustering

Clustering, also known as unsupervised learning, is one of the most significant topics of machine learning because it divides data into groups based on similarity with the aim of extracting or summarizing new information. It is one of the most often used machine learning techniques. The most signifi...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Wireless communications and mobile computing Ročník 2022; číslo 1
Hlavní autori:	Sharma, Kapil, Saini, Satish, Sharma, Shailja, Kang, Hardeep Singh, Bouye, Mohamed, Krah, Daniel
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford Hindawi 2022 John Wiley & Sons, Inc
Predmet:	Accuracy Algorithms Big Data Centroids Cluster analysis Clustering Collaboration Data analysis Data mining Datasets Documents Knowledge discovery Machine learning Optimization Recommender systems User profiles Vector quantization
ISSN:	1530-8669, 1530-8677
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!