Abstract: A semiconductor device and a method of forming the same are provided. The semiconductor device includes at least one substrate and an interconnection structure. The at least one substrate has a cavity partially defined by an inner sidewall of the at least one substrate and a channel disposed at a bottom of the at least one substrate. The channel laterally penetrates through the at least one substrate. The interconnections structure is disposed over the substrate, and the interconnection structure has a through hole penetrating through the interconnection structure. The through hole, the cavity and the channel are in spatial communication with each other.

Abstract: A semiconductor device and method of forming the same are provided. The semiconductor device includes at least one substrate and an interconnection structure. The at least one substrate has a cavity partially defined by an inner sidewall of the at least one substrate and a channel disposed at a bottom of the at least one substrate. The channel laterally penetrates through the at least one substrate. The interconnections structure is disposed over the substrate, and the interconnection structure has a through hole penetrating through the interconnection structure. The through hole, the cavity and the channel are in spatial communication with each other.

Abstract: A semiconductor device and method of forming the same are provided. The semiconductor device includes at least one substrate and an interconnection structure. The at least one substrate has a cavity partially defined by an inner sidewall of the at least one substrate and a channel disposed at a bottom of the at least one substrate. The channel laterally penetrates through the at least one substrate. The interconnections structure is disposed over the substrate, and the interconnection structure has a through hole penetrating through the interconnection structure. The through hole, the cavity and the channel are in spatial communication with each other.

Abstract: A density-based data clustering method executed by a computer system is disclosed. The method includes a setup step, a clustering step, an expansion step and a termination step. The setup step sets a radius and a threshold value. The clustering step defines a single cluster on a plurality of data points of a data set, and provides and adds a plurality of first boundary marks to a seed list as seeds. The expansion step expands the cluster from each seed of the seed list, and provides and adds at least one second boundary mark to the seed list as seeds. The termination step determines whether each of the data points is clustered, wherein the clustering step is re-performed if the determination is negative.

Abstract: A density-based data clustering method executed by a computer system is disclosed. The method includes a setup step, a clustering step, an expansion step and a termination step. The setup step sets a radius and a threshold value. The clustering step defines a single cluster on a plurality of data points of a data set, and provides and adds a plurality of first boundary marks to a seed list as seeds. The expansion step expands the cluster from each seed of the seed list, and provides and adds at least one second boundary mark to the seed list as seeds. The termination step determines whether each of the data points is clustered, wherein the clustering step is re-performed if the determination is negative.