Asymmetric $$k$$ k -Means Clustering of the Asymmetric Self-Organizing Map

Olszewski, Dominik

doi:10.1007/s11063-015-9415-8

Cited by 9 publications

(2 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Rationalization in structural design is most often deployed in the context of manufacturing and procurement complexity reduction [14][15][16]. To extend this process to the rationalization of structural demands, we build upon metrics and clustering algorithms that consider the directions of comparisons between structural demand and element capacity [17,18].…”

Section: Literature Reviewmentioning

confidence: 99%

PixelFrame: A reconfigurable, precast, post-tensioned concrete structural system for a circular building economy

Donovan,

Schnitzler,

Lee

et al. 2023

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

The demand to build for a growing urban population conflicts with the need to reduce the AEC (Architecture, Engineering and Construction) sector’s contributions to global CO2 emissions. Structural systems are a key factor in this challenge, as they contribute substantially to a building’s mass and are typically overdesigned. In this paper, we present PixelFrame, a new precast concrete structural system that is algorithmically designed to use less carbon upfront and be reused across multiple lifecycles. We achieve a high reuse potential for structural elements through building load demand analysis, a segmental externally post-tensioned design, and an integrated optimal assignment strategy. In addition to improving reuse potential, a segmental optimization strategy also yields higher efficiency in comparison to traditional prismatic concrete structural elements. The detailing of concrete mixes is informed by a statistical analysis of anticipated building load demands and a custom clustering asymmetric distance function and clustering algorithm. Compared to previous work in this area, our contribution is original in its bidirectional algorithmic approach; both the target building structure and the circular material inventory are computationally generated to achieve versatility while minimizing emissions.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

PixelFrame: A reconfigurable, precast, post-tensioned concrete structural system for a circular building economy

Donovan,

Schnitzler,

Lee

et al. 2023

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

show abstract

“…SOM has been used for geospatial analysis of extreme weather events in [22] and reduce the complexity of terrestrial lidar data in [23]. The asymmetric SOM compare to the asymmetric K-Mean have studied in [24]. Several other studies have also been carried out related to the application of SOM clustering [25][26][27][28].…”

Section: Introductionmentioning

confidence: 99%

A Performance of the Scattered Averaging Technique based on the Dataset for the Cluster Center Initialization

Putra¹,

Gaffar²,

Suprapty³

et al. 2021

IJMECS

View full text Add to dashboard Cite

Clustering is one of the primary functions in data mining explorations and statistical data analysis which widely used in various fields. There are two types of the clustering algorithms which try to optimize certain objective function, i.e. the hierarchical and partitional clustering. This study focuses on the achievement of the best cluster results of the hard and soft clustering (K-Mean, FCM, and SOM clustering). The validation index called GOS (Global Optimum Solution) used to evaluate the cluster results. GOS index defined as a ratio of the distance variance within a cluster to the distance variance between clusters. The aim of this study is to produce the best GOS index through the use of the proposed method called the scattered averaging technique based on datasets for the cluster center initialization. The cluster results of each algorithm are also compared to determine the best GOS index between them. By using the annual rainfall data as the dataset, the results of this study showed that the proposed method significantly improved K-Mean clustering ability to achieve the global optimum solution with a performance ratio of 69.05% of the total performance of the three algorithms. The next best clustering algorithm is SOM clustering (24.65%) followed by FCM clustering (6.30%). In addition, the results of this study also showed that the three clustering algorithms achieve their best global optimum solution at the number of even clusters.

show abstract

Centroid Neural Network with Pairwise Constraints for Semi-supervised Learning

Ngoc

Park

2018

Neural Process Lett

View full text Add to dashboard Cite

Asymmetric $$k$$ k -Means Clustering of the Asymmetric Self-Organizing Map

Cited by 9 publications

References 38 publications

PixelFrame: A reconfigurable, precast, post-tensioned concrete structural system for a circular building economy

PixelFrame: A reconfigurable, precast, post-tensioned concrete structural system for a circular building economy

A Performance of the Scattered Averaging Technique based on the Dataset for the Cluster Center Initialization

Centroid Neural Network with Pairwise Constraints for Semi-supervised Learning

Contact Info

Product

Resources

About