Clustering based multiple state–space projections

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Multiple Clustering Views via Constrained Projections

It is well known that off-the-shelf clustering methods may discover different patterns in a given set of data. This is because each clustering algorithm has its own bias resulting from the optimization of different criteria. Furthermore, there is no ground truth against which the clustering result can be validated. Thus, no crossvalidation technique can be carried out to tune input parameters i...

متن کامل

Clustering by Random Projections

Clustering algorithms for multidimensional numerical data must overcome special difficulties due to the irregularities of data distribution. We present a clustering algorithm for numerical data that combines ideas from random projection techniques and density-based clustering. The algorithm consists of two phases: the first phase that entails the use of random projections to detect clusters, an...

متن کامل

Optimal Control of Large-Scale Networks using Clustering Based Projections

In this paper we present a set of projection-based designs for constructing simplified linear quadratic regulator (LQR) controllers for large-scale network systems. When such systems have tens of thousands of states, the design of conventional LQR controllers becomes numerically challenging, and their implementation requires a large number of communication links. Our proposed algorithms bypass ...

متن کامل

Density-based clustering in large databases using projections and visualizations

Die Datenmengen, die in Computersystemen gespeichert werden, wachsen in aktuellen Anwendungsszenarien mit unvermindert großer Geschwindigkeit. Weil die Kapazität von Analysten begrenzt ist, sind automatische Methoden zur Extraktion von nützlichem Wissen aus großen Datenbanken sehr gefragt. Im Forschungsgebiet Data Mining ist diese Fragestellung ein Kernproblem und es wurden und werden viele ver...

متن کامل

Ratio-Based Multiple Kernel Clustering

Maximum margin clustering (MMC) approaches extend the large margin principle of SVM to unsupervised learning with considerable success. In this work, we utilize the ratio between the margin and the intra-cluster variance, to explicitly consider both the separation and the compactness of the clusters in the objective. Moreover, we employ multiple kernel learning (MKL) to jointly learn the kernel...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Signal Processing

سال: 2021

ISSN: 0165-1684

DOI: 10.1016/j.sigpro.2020.107762