Question: What type of category does Bletilla and Vernonia have in common?

<P0-S0>  The name is actually a diminutive of "Bletia" because of the resemblance between the two genera even though Bletia is a New World genus. <P0-S1>  The genera Jimensia and Polytoma are generally included into "Bletilla". <P0-S2> Bletilla, common name urn orchid, is a temperate, terrestrial genus of orchids containing five currently recognized species distributed through China, Japan, Taiwan, south to Vietnam, Thailand and Myanmar. <P0-S3>  This genus is abbreviated Ble in trade journals. <SEP> <P1-S0>  Some species are known as ironweed. <P1-S1>  Some species are edible and of economic value. <P1-S2> Vernonia is a genus of about 1000 species of forbs and shrubs in the family Asteraceae. <P1-S3>  They are known for having intense purple flowers. <P1-S4>  The genus is named for the English botanist William Vernon. <P1-S5>  There are numerous distinct subgenera and subsections in this genus. <P1-S6>  This has led some botanists to divide this large genus into several distinct genera. <P1-S7>  For instance, the "Flora of North America" only recognizes about 20 species in "Vernonia" sensu stricto, 17 of which are in North America north of Mexico, with the others being found in South America. <SEP> <P2-S0> Category utility is a measure of "category goodness" defined in and . <P2-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. <P2-S2>  It was intended to supersede more limited measures of category goodness such as "cue validity" (; ) and "collocation index" . <P2-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. <P2-S4>  In this sense the motivation for the "category utility" measure is similar to the information gain metric used in decision tree learning. <P2-S5>  In certain presentations, it is also formally equivalent to the mutual information, as discussed below. <P2-S6>  A review of "category utility" in its probabilistic incarnation, with applications to machine learning, is provided in . <SEP> <P3-S0>  In C category, individually 4 elements have to be performed ( one from each type), A or B difficulty, and in groups, two are optional. <P3-S1>  In B category individually 8 elements need to be performed ( two from each type) A-D difficulty ( but max. <P3-S2>  Routines get evaluated in three categories: technique, artistry, and content (execution of elements). <P3-S3>  two elements can be D), and in groups 4 (same as C category individual). <P3-S4>  Competition is divided by age groups (I. to IX. <P3-S5>  A elements being worth 0.1 points, B 0.2, C 0.3, and so on until H which is worth 0.8. <P3-S6>  There three categories (from hardest to easiest) A, B, and C, also called Dance. <P3-S7>  (or Senior in A category)), and categories ( which are based on knowledge). <P3-S8>  A routine stands of four types of elements: strength, flexibility, acrobatics, and jumps. <P3-S9>  In A and B category there are duos, small groups (3-4), and big groups (5-6). <P3-S10>  In each categories there are group and individual routines. <P3-S11>  International competitions are organized regularly by the "International FitKid Division", in addition to national competitions. <P3-S12>  All elements are graded by difficulty from A to H. <P3-S13>  Skills in A category can be any difficulty. <P3-S14>  It originated in Europe in the 1990s, and is meant to engage children 8–18 years of age in fun individual and group exercise, free of the extremes of more strenuous aerobics or traditional gymnastics.