Block clustering with collapsed latent block models

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود 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

Block clustering with collapsed latent block models

We introduce a Bayesian extension of the latent block model for model-based block clustering of data matrices. Our approach considers a block model where block parameters may be integrated out. The result is a posterior defined over the number of clusters in rows and columns and cluster memberships. The number of row and column clusters need not be known in advance as these are sampled along wi...

متن کامل

Data clustering using stochastic block models

It has been shown that community detection algorithms work better for clustering tasks than other, more popular methods, such as k-means. In fact, network analysis based methods often outperform more widely used methods and do not suffer from some of the drawbacks we notice elsewhere e.g. the number of clusters k usually has to be known in advance. However, stochastic block models which are kno...

متن کامل

Latent Heart Block.

I have used the term "Latent Heart Block" to indicate a prolonged P-R interval without any manifest degree of block, such as dropped beats or 2 :1 block. This paper is a clinical study of a series of such cases, mainly from the point of view of the xtiology and significance of the condition. One might guess that latent heart block would be found in the same cases as, but at an earlier stage tha...

متن کامل

Graph Clustering: Block-models and model free results

Clustering graphs under the Stochastic Block Model (SBM) and extensions are well studied. Guarantees of correctness exist under the assumption that the data is sampled from a model. In this paper, we propose a framework, in which we obtain “correctness” guarantees without assuming the data comes from a model. The guarantees we obtain depend instead on the statistics of the data that can be chec...

متن کامل

Graph Clustering: Block-models and model free results

Clustering graphs under the Stochastic Block Model (SBM) and extensions are 1 well studied. Guarantees of correctness exist under the assumption that the data 2 is sampled from a model. In this paper, we propose a framework, in which we 3 obtain “correctness” guarantees without assuming the data comes from a model. 4 The guarantees we obtain depend instead on the statistics of the data that can...

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: Statistics and Computing

سال: 2011

ISSN: 0960-3174,1573-1375

DOI: 10.1007/s11222-011-9233-4