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Depression is a serious disease that affects partners, families, friends, and societies. Applications for depression therapy support assist users in daily life to cope with depression challenges. While the services provided can be advantageous, the benefits and apps provided in the market can be overwhelming and fragmented for its intended users. A rigorous classification and clustering of this important domain is still missing. We deduce insights examining a taxonomy and conducting a cluster analysis. We classify 55 applications into eleven dimensions and 46 corresponding characteristics. We identify six clusters of archetypical application configurations. Our procedure classifies this application domain and enables directions towards more tailored research for this eHealth and mHealth artefacts. (Potential) users and application developers can use our results and findings to improve their usage and development and select the most suitable application for their medical needs and interests. [ABSTRACT FROM AUTHOR]