Pattern Recognition: Concepts, Methods and Applications
By J. M. D. Sá. 2001
337 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/5c9fe53cadb5730e9e49ece39e93f1912a79b7a1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Audun Botterud
- Jianhui Wang
- Ricardo J. Bessa
- Vladimiro Miranda
- Saeed Abu-Nimeh
- Jorge M. Santos
- Cláudio Monteiro
- Suku Nair
Citations in the corpus
- A comparison of machine learning techniques for phishing detection (2007, background): “Though SVMs are very powerful and commonly used in classification, they suffer from several drawbacks.”
- On the Use of the Adjusted Rand Index as a Metric for Evaluating Supervised Classification (2009, background): “of Olive [9], Breast Tissue [10] and Leukemia [14].”
- Wind power forecasting : state-of-the-art 2009. (2009, methodology): “” Three reference wind farms’ selection algorithms were proposed by the authors: (i) k-means clustering algorithm [185], in which the wind farm nearest to the centroid is the reference wind farm (the distance measures are the Euclidian distance and the correlation between NWP); (ii) MIFS (mutual inf”
- Clustering Algorithms Research (2008, unknown): “层次聚类算法又称为树聚类算法([8,9]),它使用数据的联接规则,透过一种层次架构方式,反复将数据进行分 裂或聚合,以形成一个层次序列的聚类问题解.”