Clustering has a long and rich history in a variety of scientific fields. One of the most popular and simple clustering algorithms, K-means, was first published in 1955. In spite of the fact that K-means was proposed over 50 years ago and thousands of clustering algorithms have been ...
Anil K. JainSpringer, Berlin, HeidelbergEuropean conference on Machine LearningA. K. Jain, "Data clustering: 50 years beyond k-means," in Machine Learning and Knowledge Discovery in Databases, Springer Berlin Heidelberg, 2008, pp. 3-4.
Data clustering: 50 years beyond k-means Pattern Recognit. Lett. (2010) L. Wang et al. Robust level set image segmentation via a local correntropy-based k-means clustering Pattern Recognit. (2014) F. Gullo et al. An information-theoretic approach to hierarchical clustering of uncertain data ...
Jain, A.K. (2008). Data Clustering: 50 Years Beyond K-means. In: Daelemans, W., Goethals, B., Morik, K. (eds) Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2008. Lecture Notes in Computer Science(), vol 5211. Springer, Berlin, Heidelberg. https://doi.org/10.1007...
K-means自从在不同的科学领域中由Steinhaus(1956)、Lloyd(1957年提出,1982年发表)、Ball和Hall(1965)以及MacQueen(1967)独立的发现以来,已经有了丰富而多样的历史。即使K-means距离它第一次提出已经过去了50多年,它仍然是聚类中最广泛使用的算法之一。易实现、简单、有效、经验上的成功是这个算法如此受欢迎的主要...
Data clustering: 50 years beyond K-means. Pattern Recognit. Lett. 31, 651–666 (2010). Google Scholar Quake, S. R., Wyss-Coray, T., Darmanis, S. & The Tabula Muris Consortium. Transcriptomic characterization of 20 organs and tissues from mouse at single cell resolution creates a ...
Data clustering: 50 years beyond k-means. Pattern Recogn. Lett. 31, 651–666 (2010). Article Google Scholar Manning, C. D., Raghavan, P. & Schütze, H. Introduction to Information Retrieval (Cambridge University Press, 2008). Jackson, J. E. A User’s Guide to Principal Components (...
# Perform clustering with a different number of clustersR=range(50,1000,50) KM = (cluster.KMeans(n_clusters=k).fit(data)forkinR) Then determine the error for each case and visualize the data obtained. distance=(k.transform(data)forkinKM) ...
Data clustering: 50 years beyond k-means Pattern Recognit. Lett. (2010) R. Liu et al. Shared-nearest-neighbor-based clustering by fast search and find of density peaks Inf. Sci. (2018) N.C. Sandes et al. Clustering ensembles: a hedonic game theoretical approach Pattern Recognit. (2018)...
Jain AK (2010) Data clustering: 50 years beyond K-means. Pattern Recogn Lett 31(8):651–666 Article Google Scholar Sacerdoti FD, Katz MJ, Massie ML (2003) Wide area cluster monitoring with Ganglia. In: IEEE International Conference on CLUSTER Computin, pp 289–298 Gold MS, Bentler PM ...