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  2. Hard and soft C - Wikipedia

    en.wikipedia.org/wiki/Hard_and_soft_C

    The hard c pronunciation occurs everywhere else [4] except in the letter combinations sc , ch , and sch which have distinct pronunciation rules. cc generally represents /ks/ before i e y , as in accident, succeed, and coccyx. There are exceptions to the general rules of hard and soft c :

  3. Constraint (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Constraint_(mathematics)

    If the problem mandates that the constraints be satisfied, as in the above discussion, the constraints are sometimes referred to as hard constraints.However, in some problems, called flexible constraint satisfaction problems, it is preferred but not required that certain constraints be satisfied; such non-mandatory constraints are known as soft constraints.

  4. HSAB theory - Wikipedia

    en.wikipedia.org/wiki/HSAB_theory

    HSAB is an acronym for "hard and soft (Lewis) acids and bases".HSAB is widely used in chemistry for explaining the stability of compounds, reaction mechanisms and pathways. It assigns the terms 'hard' or 'soft', and 'acid' or 'base' to chemical species.

  5. Talk:Hard and soft C/Archive 1 - Wikipedia

    en.wikipedia.org/wiki/Talk:Hard_and_soft_C/Archive_1

    5 List of English words where C is pronounced exceptionally. 3 comments. 6 C and ch, c and k, c and qu. 4 comments. 7 Exception to the rule. ... 10 The terms "hard ...

  6. Hard and soft science - Wikipedia

    en.wikipedia.org/wiki/Hard_and_soft_science

    The origin of the terms "hard science" and "soft science" is obscure. The earliest attested use of "hard science" is found in an 1858 issue of the Journal of the Society of Arts, [17] [18] but the idea of a hierarchy of the sciences can be found earlier, in the work of the French philosopher Auguste Comte (1798‒1857).

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  8. Talk:Hard and soft C - Wikipedia

    en.wikipedia.org/wiki/Talk:Hard_and_soft_C

    This is the talk page for discussing improvements to the Hard and soft C article. This is not a forum for general discussion of the article's subject. Put new text under old text.

  9. Fuzzy clustering - Wikipedia

    en.wikipedia.org/wiki/Fuzzy_clustering

    Fuzzy clustering (also referred to as soft clustering or soft k-means) is a form of clustering in which each data point can belong to more than one cluster.. Clustering or cluster analysis involves assigning data points to clusters such that items in the same cluster are as similar as possible, while items belonging to different clusters are as dissimilar as possible.