K-means clustering in a memristive logic array

Tissari, Jari; Poikonen, Jussi; Lehtonen, Eero; Laiho, Mika; Koskinen, Lauri

doi:10.1109/nano.2015.7388684

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Memristors and Cmos1

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2018

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“…In general, learning using crossbars follows a general weight update strategy. For regressions, current-controlled memristors can be used with a simple serial architecture [65] while unsupervised learning can be performed by implementing the K-means algorithm [152][153][154].…”

Section: Memristors and Cmosmentioning

confidence: 99%

Memristors for the Curious Outsiders

Caravelli

Carbajal

2018

Technologies

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We present both an overview and a perspective of recent experimental advances and proposed new approaches to performing computation using memristors. A memristor is a 2-terminal passive component with a dynamic resistance depending on an internal parameter. We provide an brief historical introduction, as well as an overview over the physical mechanism that lead to memristive behavior. This review is meant to guide nonpractitioners in the field of memristive circuits and their connection to machine learning and neural computation.

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