Objective: To provide a human–Artificial Intelligence (AI) interaction review for Machine
Learning (ML) applications to inform how to best combine both human domain expertise and …

In this survey, 105 papers related to interactive clustering were reviewed according to seven
perspectives:(1) on what level is the interaction happening,(2) which interactive operations …

With the advent of large‐scale problems, feature selection has become a fundamental
preprocessing step to reduce input dimensionality. The minimum‐redundancy‐maximum …

Small‐magnitude earthquakes shed light on the spatial and magnitude distribution of natural
seismicity, as well as its rate and occurrence, especially in stable continental regions where …

Biologists often perform clustering analysis to derive meaningful patterns, relationships, and
structures from data instances and attributes. Though clustering plays a pivotal role in …

Face recognition (FR) is a remarkable and attractive research field in pattern recognition and
computer vision. FR is still a challenging problem due to the following obstacles …

The keyterm-based approach is arguably intuitive for users to direct text-clustering
processes and adapt results to various applications in text analysis. Its way of markedly …

Traditional semi‐supervised clustering uses only limited user supervision in the form of
instance seeds for clusters and pairwise instance constraints to aid unsupervised clustering …

We present in this paper a scoping review conducted in the interactive clustering area.
Interactive clustering has been applied to leverage the strengths of both unsupervised and …

Accurate classification and recognition of coal flotation froth is one of the key technologies
for intelligent coal separation. At present, the coal flotation process relies on artificial …