Abstract: In some embodiments, reducing utilization of computational resources associated with segmenting datasets via a cluster-ensemble model may be facilitated. In some embodiments, the system may receive a raw dataset having a first dimension. The system may then embed the raw dataset into an embedded dataset having a second dimension, where the embedded dataset comprises a vector embedding. The system may then provide the embedded dataset to a set of clustering models to generate a set of clusters, where each cluster of the set of clusters corresponds to a respective clustering model of the set of clustering models. The system may provide the set of clusters to a cluster-ensemble model to generate a set of ensemble-clusters. Based on the set of ensemble-clusters, the system may generate a set of data segments corresponding to the set of ensemble-clusters indicating at least one characteristic of a respective ensemble-cluster of the set of ensemble-clusters.

Abstract: Disclosed are a method for controlling a variable refrigerant flow (VRF) air conditioner, a VRF air conditioner, and a computer-readable storage medium. The method includes: obtaining a target indoor unit in a warming stage among started indoor units; determining a target superheat degree according to a working condition parameter of the target indoor unit; and adjusting an operating parameter of an electronic expansion valve of the target indoor unit according to the target superheat degree.