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A survey on machine learning in Internet of Things: Algorithms, strategies, and applications
In the IoT and WSN era, large number of connected objects and sensing devices are
dedicated to collect, transfer, and generate a huge amount of data for a wide variety of fields …
dedicated to collect, transfer, and generate a huge amount of data for a wide variety of fields …
Editorial survey: swarm intelligence for data mining
This paper surveys the intersection of two fascinating and increasingly popular domains:
swarm intelligence and data mining. Whereas data mining has been a popular academic …
swarm intelligence and data mining. Whereas data mining has been a popular academic …
[PDF][PDF] 聚类算法研究
孙吉贵 [1， 刘杰 [1， 赵连宇 [1 - 软件学报, 2008 - Citeseer
对**年来聚类算法的研究现状与新进展进行归纳总结. 一方面对**年来提出的较有代表性的聚类
算法, 从算法思想, 关键技术和优缺点等方面进行分析概括; 另一方面选择一些典型的聚类算法和 …
算法, 从算法思想, 关键技术和优缺点等方面进行分析概括; 另一方面选择一些典型的聚类算法和 …
Swarm intelligence in data mining
This chapter presents the biological motivation and some of the theoretical concepts of
swarm intelligence with an emphasis on particle swarm optimization and ant colony …
swarm intelligence with an emphasis on particle swarm optimization and ant colony …
[HTML][HTML] Swarm intelligence for self-organized clustering
Algorithms implementing populations of agents which interact with one another and sense
their environment may exhibit emergent behavior such as self-organization and swarm …
their environment may exhibit emergent behavior such as self-organization and swarm …
Ant colony optimization based clustering methodology
In this work we consider spatial clustering problem with no a priori information. The number
of clusters is unknown, and clusters may have arbitrary shapes and density differences. The …
of clusters is unknown, and clusters may have arbitrary shapes and density differences. The …
[كتاب][B] Projection-based clustering through self-organization and swarm intelligence: combining cluster analysis with the visualization of high-dimensional data
MC Thrun - 2018 - books.google.com
This open access book covers aspects of unsupervised machine learning used for
knowledge discovery in data science and introduces a data-driven approach to cluster …
knowledge discovery in data science and introduces a data-driven approach to cluster …
A neural clustering and classification system for sales forecasting of new apparel items
The Textile-Apparel-Distribution network actors require a very accurate production and
sourcing management to minimize their costs and satisfy their customers. For a such …
sourcing management to minimize their costs and satisfy their customers. For a such …
An efficient hybrid evolutionary optimization algorithm based on PSO and SA for clustering
The K-means algorithm is one of the most popular techniques in clustering. Nevertheless,
the performance of the K-means algorithm depends highly on initial cluster centers and …
the performance of the K-means algorithm depends highly on initial cluster centers and …
ECG heart beat classification method based on modified ABC algorithm
S Dilmac, M Korurek - Applied Soft Computing, 2015 - Elsevier
Electrocardiogram is the most commonly used tool for the diagnosis of cardiologic diseases.
In order to help cardiologists to diagnose the arrhythmias automatically, new methods for …
In order to help cardiologists to diagnose the arrhythmias automatically, new methods for …