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Cluster analysis: A modern statistical review
Cluster analysis is a big, sprawling field. This review paper cannot hope to fully survey the
territory. Instead, it focuses on hierarchical agglomerative clustering, k‐means clustering …
territory. Instead, it focuses on hierarchical agglomerative clustering, k‐means clustering …
Cluster ensembles: A survey of approaches with recent extensions and applications
Cluster ensembles have been shown to be better than any standard clustering algorithm at
improving accuracy and robustness across different data collections. This meta-learning …
improving accuracy and robustness across different data collections. This meta-learning …
Fair algorithms for clustering
We study the problem of finding low-cost {\em fair clusterings} in data where each data point
may belong to many protected groups. Our work significantly generalizes the seminal work …
may belong to many protected groups. Our work significantly generalizes the seminal work …
[کتاب][B] Handbook of cluster analysis
This handbook provides a comprehensive and unified account of the main research
developments in cluster analysis. Written by active, distinguished researchers in this area …
developments in cluster analysis. Written by active, distinguished researchers in this area …
Predicting students' final performance from participation in on-line discussion forums
On-line discussion forums constitute communities of people learning from each other, which
not only inform the students about their peers' doubts and problems but can also inform …
not only inform the students about their peers' doubts and problems but can also inform …
[کتاب][B] Modern algorithms of cluster analysis
ST Wierzchoń, MA Kłopotek - 2018 - Springer
This chapter characterises the scope of this book. It explains the reasons why one should be
interested in cluster analysis, lists major application areas, basic theoretical and practical …
interested in cluster analysis, lists major application areas, basic theoretical and practical …
Data mining: practical machine learning tools and techniques with Java implementations
Witten and Frank's textbook was one of two books that 1 used for a data mining class in the
Fall of 2001. The book covers all major methods of data mining that produce a knowledge …
Fall of 2001. The book covers all major methods of data mining that produce a knowledge …
Semi-Supervised Learning (Chapelle, O. et al., Eds.; 2006) [Book reviews]
This book addresses some theoretical aspects of semisupervised learning (SSL). The book
is organized as a collection of different contributions of authors who are experts on this topic …
is organized as a collection of different contributions of authors who are experts on this topic …
A threshold of ln n for approximating set cover
Given a collection ℱ of subsets of S={1,…, n}, set cover is the problem of selecting as few as
possible subsets from ℱ such that their union covers S,, and max k-cover is the problem of …
possible subsets from ℱ such that their union covers S,, and max k-cover is the problem of …
[کتاب][B] Combinatorial optimization
BH Korte, J Vygen, B Korte, J Vygen - 2011 - Springer
Let us start with two examples. A company has a machine which drills holes into printed
circuit boards. Since it produces many of these boards it wants the machine to complete one …
circuit boards. Since it produces many of these boards it wants the machine to complete one …