Question: What type of category does Sequoia and Nandina have in common?

<P0-S0>  It is the only member of the monotypic genus Nandina. <P0-S1> Nandina domestica ( ) commonly known as nandina, heavenly bamboo or sacred bamboo, is a species of flowering plant in the family Berberidaceae, native to eastern Asia from the Himalayas to Japan. <SEP> <P1-S0>  The only extant species of the genus is "Sequoia sempervirens" in the Northern California coastal forests ecoregion of Northern California and Southwestern Oregon in the United States. <P1-S1>  The two other genera, "Sequoiadendron" and "Metasequoia", in the subfamily Sequoioideae are closely related to "Sequoia". <P1-S2> Sequoia is a genus of redwood coniferous trees in the subfamily Sequoioideae of the family Cupressaceae. <P1-S3>  It includes the largest trees in the world. <SEP> <P2-S0>  In B category individually 8 elements need to be performed ( two from each type) A-D difficulty ( but max. <P2-S1>  In each categories there are group and individual routines. <P2-S2>  All elements are graded by difficulty from A to H. <P2-S3>  In A and B category there are duos, small groups (3-4), and big groups (5-6). <P2-S4>  Routines get evaluated in three categories: technique, artistry, and content (execution of elements). <P2-S5>  In C Category (here group routines are also called Dance Show) team member can go from 4 to 8. <P2-S6>  two elements can be D), and in groups 4 (same as C category individual). <P2-S7>  International competitions are organized regularly by the "International FitKid Division", in addition to national competitions. <P2-S8> Fitkid (also "FitKid", "Fit Kid" or "Fit-Kid") is a type of children's sport combining gymnastics, dance and acrobatics. <P2-S9>  Competition is divided by age groups (I. to IX. <P2-S10>  Skills in A category can be any difficulty. <P2-S11>  A elements being worth 0.1 points, B 0.2, C 0.3, and so on until H which is worth 0.8. <P2-S12>  A routine stands of four types of elements: strength, flexibility, acrobatics, and jumps. <P2-S13>  (or Senior in A category)), and categories ( which are based on knowledge). <P2-S14>  In C category, individually 4 elements have to be performed ( one from each type), A or B difficulty, and in groups, two are optional. <SEP> <P3-S0> Category utility is a measure of "category goodness" defined in and . <P3-S1>  It attempts to maximize both the probability that two objects in the same category have attribute values in common, and the probability that objects from different categories have different attribute values. <P3-S2>  It was intended to supersede more limited measures of category goodness such as "cue validity" (; ) and "collocation index" . <P3-S3>  It provides a normative information-theoretic measure of the "predictive advantage" gained by the observer who possesses knowledge of the given category structure (i.e., the class labels of instances) over the observer who does "not" possess knowledge of the category structure. <P3-S4>  In this sense the motivation for the "category utility" measure is similar to the information gain metric used in decision tree learning. <P3-S5>  In certain presentations, it is also formally equivalent to the mutual information, as discussed below. <P3-S6>  A review of "category utility" in its probabilistic incarnation, with applications to machine learning, is provided in .