Big data now is a common term. However, the evolution of big data comes from twofold. The
creation of the computer in the 1940s gradually provides tools for human beings to collect …

Abstract Although Big Data has been one of most popular topics since last several years,
how to effectively conduct Big Data analysis is a big challenge for every field. This paper …

One of the existing sparse clustering approaches, ℓ1-k-means, maximizes the weighted
between-cluster sum of squares subject to the ℓ1 penalty. In this paper, we propose a sparse …

Dealing with high dimensionality when learning from data is a tough task since, for example,
similarity and correlation in data cannot be properly captured by the conventional notions of …

Community detection for attributed graphs, also called attributed graph clustering, is a new
challenging issue in data mining due to the increasing emergence of different kinds of real …

One of the existing sparse clustering approaches, i1-k-means, maximizes the weighted
between-cluster sum of squares subject to the i1 penalty. In this paper, we propose a new …