Comprehensive survey on hierarchical clustering algorithms and the recent developments
X Ran, Y **, Y Lu, X Wang, Z Lu - Artificial Intelligence Review, 2023 - Springer
Data clustering is a commonly used data processing technique in many fields, which divides
objects into different clusters in terms of some similarity measure between data points …
objects into different clusters in terms of some similarity measure between data points …
A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects
Clustering is an essential tool in data mining research and applications. It is the subject of
active research in many fields of study, such as computer science, data science, statistics …
active research in many fields of study, such as computer science, data science, statistics …
[HTML][HTML] How much can k-means be improved by using better initialization and repeats?
In this paper, we study what are the most important factors that deteriorate the performance
of the k-means algorithm, and how much this deterioration can be overcome either by using …
of the k-means algorithm, and how much this deterioration can be overcome either by using …
Higher-order organization of complex networks
Networks are a fundamental tool for understanding and modeling complex systems in
physics, biology, neuroscience, engineering, and social science. Many networks are known …
physics, biology, neuroscience, engineering, and social science. Many networks are known …
Understanding the buffering effect of social media use on anxiety during the COVID-19 pandemic lockdown
During the COVID-19 outbreak, lockdown measures have been deployed worldwide. In the
wake of these measures, internet and social media use has reached unprecedented peaks …
wake of these measures, internet and social media use has reached unprecedented peaks …
[KİTAP][B] Encyclopedia of machine learning
This comprehensive encyclopedia, with over 250 entries in an AZ format, provides easy
access to relevant information for those seeking entry into any aspect within the broad field …
access to relevant information for those seeking entry into any aspect within the broad field …
[KİTAP][B] An introduction to information retrieval
CD Manning - 2009 - edl.emi.gov.et
As recently as the 1990s, studies showed that most people preferred getting information
from other people rather than from information retrieval systems. Of course, in that time …
from other people rather than from information retrieval systems. Of course, in that time …
[KİTAP][B] Introduction to data mining
WID Mining - 2006 - Springer
Introduction to Data Mining Page 1 CHAPTER 14 ■ ■ ■ 369 Introduction to Data Mining In
this chapter, we’ll explore the incredibly powerful tools included with SQL Server Analysis …
this chapter, we’ll explore the incredibly powerful tools included with SQL Server Analysis …
Springer series in statistics
The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …
A survey of clustering data mining techniques
P Berkhin - Grou** multidimensional data: Recent advances in …, 2006 - Springer
Clustering is the division of data into groups of similar objects. In clustering, some details are
disregarded in exchange for data simplification. Clustering can be viewed as a data …
disregarded in exchange for data simplification. Clustering can be viewed as a data …