A Survey of Co-Clustering

H Wang, Y Song, W Chen, Z Luo, C Li, T Li - ACM Transactions on …, 2024‏ - dl.acm.org
Co-clustering is to cluster samples and features simultaneously, which can also reveal the
relationship between row clusters and column clusters. Therefore, lots of scientists have …

Synwalk: community detection via random walk modelling

C Toth, D Helic, BC Geiger - Data Mining and Knowledge Discovery, 2022‏ - Springer
Complex systems, abstractly represented as networks, are ubiquitous in everyday life.
Analyzing and understanding these systems requires, among others, tools for community …

[HTML][HTML] Model reduction for the chemical master equation: An information-theoretic approach

K Öcal, G Sanguinetti, R Grima - The Journal of Chemical Physics, 2023‏ - pubs.aip.org
The complexity of mathematical models in biology has rendered model reduction an
essential tool in the quantitative biologist's toolkit. For stochastic reaction networks described …

Co-clustering via information-theoretic Markov aggregation

C Blöchl, RA Amjad, BC Geiger - IEEE Transactions on …, 2018‏ - ieeexplore.ieee.org
We present an information-theoretic cost function for co-clustering, ie, for simultaneous
clustering of two sets based on similarities between their elements. By constructing a simple …

A dynamic approach for brand innovation strategy's implementation timing considering consumer purchase intention

C Zhou, M Shen, F Gao, AN Khan - Journal of Data, Information and …, 2024‏ - Springer
When operating their products, to sustain a competitive edge in the market, enterprises often
employ brand innovation strategies. The propensity of consumers to make purchases is a …

On the choice of number of superstates in the aggregation of Markov chains

A Srivastava, RK Velicheti, SM Salapaka - Pattern Recognition Letters, 2022‏ - Elsevier
Many studies involving large Markov chains require determining a smaller representative
(aggregated) chain. Each superstate in the representative chain represents a group of …