仮想要素追加法による階層的クラスタリングの安定性の解析
全文
(2) 2.2 ቯᕈߩ㑐ㅪ⎇ⓥ 㓏ጀ⊛ࠢࠬ࠲ࡦࠣߩቯᕈߦ㑐ߔࠆ⎇ⓥߣߒ ߡߪ㧘ⶄᢙߩ㓏ጀ⊛ࠢࠬ࠲ࡦࠣߩ⚿ᨐ㑆ߩ⋧㑐 ᷹ᐲࠍ↪ߔࠆᣇᴺ߇ઍ⊛ߢࠆ[2]㧚ߚߣ߃߫㧘 Corneil ࠄߪ㧘Rand ߩಽ㘃㑆㘃ૃ᷹ᐲ[3]ࠍቯᕈߦ ↪ߡࠆ[4]㧚߹ߚ㧘Yu ߪࠣࡈℂ⺰⊛ߦቯᕈ ࠍ᷹ࠆᚻᴺࠍឭ᩺ߒߡࠆ[5]㧚ㄭᐕࠃߊ↪ࠄࠇࠆ 㘃ૃ᷹ᐲߣߒߡ㧘Fowlkes ࠄߦࠃߞߡቯ⟵ߐࠇߚ᷹ ᐲ߇ࠆ[6]㧚ߎߩ᷹ᐲࠍታ㓙ߦ↪ߚߣߒߡ㧘 Ben-Hur ࠄߩᚻᴺ[7]߇ߍࠄࠇࠆ㧚ߎߩᚻᴺߢߪ㧘 రߩ࠺࠲㓸วߩㇱಽ㓸วࠍࡦ࠳ࡓߦ 2 ߟᚑߒ㧘 ߘࠇߙࠇߦߟߡ㓏ጀ⊛ࠢࠬ࠲ࡦࠣࠍⴕ߁㧚ߎ ߩߣ߈㧘2 ߟߩㇱಽ㓸วߩㅢㇱಽߦ߹ࠇࠆⷐ⚛ ߦᵈ⋡ߔࠆ㧚᮸ᒻ࿑ࠍࠢࠬ࠲ߦಽഀߔࠆߎߣࠍ⠨ ߃㧘ߘࠇߙࠇߩಽഀߦߟߡㅢㇱಽߩⷐ⚛ߩᚲዻ ߒߡࠆࠢࠬ࠲߇ᄌൻߒߡࠆ߆ุ߆ࠍ㘃ૃᐲߣ ߒߡᢙ୯ൻߒ㧘⛔⸘⊛ߥಣℂࠍⴕߞߡቯߥࠢࠬ ࠲ಽഀࠍᓧࠆ㧚 ߎࠇࠄᣢሽᚻᴺߪಽ㘃㑆ߩ㘃ૃ᷹ᐲߦࠃࠆߚ㧘 ⛔⸘⊛ߦ↪ߥߌࠇ߫ߥࠄߥߣ߁ᰳὐ߇ࠆ㧚. 3. ᗐⷐ⚛ㅊടᴺߦࠃࠆቯᕈࡕ࠺࡞ ᧄ▵ߢߪ㧘⛔⸘⊛ၮḰࠍ↪ߕߦቯᕈࠍ᷹ࠆᚻ ᴺࠍឭ᩺ߔࠆ㧚߹ߚ㧘ឭ᩺ᴺࠍ 2 ᰴర࡙ࠢ࠶࠼ ⓨ㑆ߦㆡ↪ߒߚࠍ␜ߔ㧚. 3.1 ᗐⷐ⚛ㅊടᴺߦࠃࠆቯᕈߩࡕ࠺࡞ൻ ᧄᚻᴺߢߪ㧘రߩ࠺࠲㓸วߦኻߒ㧘ⷐ⚛ࠍᣂߚߦ 1 ㅊടߒߡ㓏ጀ⊛ࠢࠬ࠲ࡦࠣࠍⴕ㧘ߘߩ ⟎ߦࠃࠆ㓏ጀ᭴ㅧߩᄌൻࠍᬌߔࠆ㧚ㅊടⷐ⚛ࠍട ߃ߡࠢࠬ࠲ࡦࠣߒ㧘ߘߩ߁߃ߢ᮸ᒻ࿑߆ࠄㅊട ⷐ⚛ࠍ㒰ߔࠆߎߣߢ㧘ㅊടⷐ⚛ߩࠢࠬ࠲ࡦࠣ ߳ߩᓇ㗀ࠍ⺞ߴࠆߎߣ߇ߢ߈ࠆ㧚 ㅊടⷐ⚛ߩ㒰ߪ㧘 ㅊടⷐ⚛ࠍߘߩ⚿วኻ⽎ߦหൻߐߖࠆߎߣߢታߔ ࠆ㧚ᓧࠄࠇߚࠢࠬ࠲᭴ㅧߣ㧘ⷐ⚛ㅊട೨ߩࠢࠬ ࠲᭴ㅧࠍᲧセߒ㧘ห৻ߢߥ႐วߦߪ㧘ᧄ⾰⊛ߥ㓏 ጀ᭴ㅧߩᄌൻߣߺߥߔ㧚߹㧘࿑ 1(a)ߩࠃ߁ߥ 3 ⷐ ⚛߆ࠄߥࠆࠢࠬ࠲᭴ㅧ߇ࠆߣ߈㧘ⷐ⚛ P ࠍㅊട ߒߡࠢࠬ࠲ࡦࠣࠍⴕ߁ߎߣࠍ⠨߃ࠆ㧚 ߎߩߣ߈㧘 ߚߣ߃߫(b)ߩࠃ߁ߥ᭴ㅧߦߥߞߚ႐วߪ㧘ㅊടⷐ⚛ ߢࠆ P ࠍ㒰ߊߣ㧘㓏ጀ᭴ㅧߪ(c)ߦ␜ߔࠃ߁ߦ(a) ߣᄌൻߒߡߥ㧚ߎࠇߦኻߒߡ㧘(d)ߩࠃ߁ߥ᭴ㅧ ߦߥߞߚ႐วߪ㧘P ࠍ㒰ߚᓟߩࠢࠬ࠲᭴ㅧߪ(e) ߩࠃ߁ߦᄌൻߒߡ߅ࠅ㧘ᧄ⾰⊛ߥ㓏ጀ᭴ㅧᄌൻߢ ࠆߎߣ߇ࠊ߆ࠆ㧚 ⷐ⚛ߩㅊടߦࠃߞߡ㧘⸥ߩࠃ߁ߥᧄ⾰⊛ߥ㓏 ጀ᭴ㅧᄌൻ߇ߎࠆ߆ุ߆ߪ㧘ㅊടⷐ⚛ߩ୯ߦଐሽ ߔࠆ㧚ߎߩߣ߈㧘㓏ጀ᭴ㅧᄌൻࠍᒁ߈ߎߔࠃ߁ߥ −32−. A. P. B C. (b) 1䋨Pㅊട䋩. A. B. A㵭. B. C. (c) 1䋨P㒰䋩. C. A (a) Pㅊട೨. P. B C. (d) 2䋨Pㅊട䋩. A㵭 B. C. (e) 2䋨P㒰䋩. ࿑ 1 ᗐⷐ⚛ P ߩㅊട㒰ߦࠃࠆ㓏ጀ᭴ㅧߩᄌൻ ㅊടⷐ⚛୯ߩ▸࿐߇ᄢ߈߶ߤ㧘ߘߩࠢࠬ࠲᭴ㅧ ߪਇቯߢࠆߣ⠨߃ࠆߎߣ߇ߢ߈ࠆ㧚 . 3.2. 㓏ጀቯᐲߩቯ⟵. ೨㗄ߢㅀߴߚㅊടⷐ⚛୯ߩ▸࿐ߦࠃࠆࠢࠬ࠲᭴ ㅧߩቯߐࠍቯᑼൻߒ㧘 㓏ጀቯᐲߣߒߡቯ⟵ߔࠆ㧚 ߎߎߢߪ㧘ㅊടⷐ⚛ P ߇ A㧘B㧘C ߕࠇ߆ߩⷐ⚛ ߣవߦ⚿วߔࠆ႐วߛߌࠍኻ⽎ߣߒߡ⠨߃㧘ߘߩߣ ߈ߩ P ߩߣࠅ߁ࠆ୯ߩ▸࿐ࠍ㗔ၞ R(n)ߣߔࠆ㧚ߚߣ ߃߫㧘࿑ 1(b)㧘(d)ߣߥࠆ႐วߪ㧘ߕࠇ߽ P ߇ A ߣ ⚿วߔࠆߩߢ㧘 ߘߩߣ߈ߩ P ߩ୯ߪ R(n)ߦ߹ࠇࠆ㧚 㗔ၞ R(n)ߪ㧘ᧄ⾰⊛ߥ㓏ጀ᭴ㅧᄌൻ߇ߎࠆ㗔ၞ R(u)ߣ㧘ߎࠄߥ㗔ၞ R(s)ߦಽߌࠄࠇࠆ㧚ߎߩߣ ߈㧘R(n)ߦභࠆ R(s)ߩ㗔ၞߩᄢ߈ߐߩഀว㧘ߔߥ ࠊߜ R(s)㧛R(n) ࠍ㧘A㧘B㧘C ߩ 3 ⷐ⚛߆ࠄߥࠆࠢ ࠬ࠲ߩ㓏ጀቯᐲߣቯ⟵ߔࠆ㧚 ߥ߅㧘A㧘B㧘C ߪ㧘ߘߩ৻ㇱ߽ߒߊߪోㇱ߇ࠢ ࠬ࠲ߢߞߡ߽㧘ߘߩઍ୯ࠍ↪ࠆߎߣߢ㧘ห᭽ ߦ㓏ጀቯᐲࠍቯ⟵ߢ߈ࠆ㧚ߚߛߒ㧘◲නߩߚ㧘 ߘࠇߙࠇߩࠢࠬ࠲ߪචಽቯߢࠅᗐⷐ⚛ߩㅊ ടߦࠃߞߡ፣უߒߥߣ߁ቯࠍ⸳ߌࠆ㧚. 3.3 2 ᰴర࡙ࠢ࠶࠼ⓨ㑆ߦ߅ߌࠆㆡ↪ ቯᐲࠍታ㓙ߩⓨ㑆ߦኻߒߡㆡ↪ߒߚ⚿ᨐࠍ␜ߔ㧚 ߎߎߢߪ◲නߩߚ 2 ᰴరⓨ㑆ࠍኻ⽎ߣߔࠆ㧚ⷐ⚛ 㑆ߩ〒㔌ዤᐲߪ࡙ࠢ࠶࠼〒㔌ߣߒ㧘ࠢࠬ࠲㑆 〒㔌ߪ㊀ᔃᴺߣߔࠆ㧚 3 ⷐ⚛ A㧘B㧘C ߩ㈩⟎ߣߒߡ㧘ฦⷐ⚛㑆〒㔌߇ |AB|:|AC|= 1 : 2 ߩ႐วߣ|AB|ѳ|AC|ѳ|BC|ߩ႐วߦ ߟߡ⠨߃ࠆ㧚ߘࠇߙࠇߩᗐⷐ⚛ㅊടᴺߦࠃࠆ ቯᐲࠍ㧘ㄭૃ⊛ߦ⸘▚ߔࠆ㧚R(n) 㗔ၞౝㇱߩฦ↹⚛ ߦߟߡ㧘ᧄ⾰⊛ߥ㓏ጀ᭴ㅧᄌൻ߇߈ࠆ߆ุ߆ࠍ ್ቯߔࠆߎߣߢ㧘R(s)㧘R(u) 㗔ၞߩ↹⚛ࠍᢙ߃ߍ ࠆ㧚R(u)㗔ၞߦ⌕⦡ߒߚ⚿ᨐࠍ࿑ 2 ߦ␜ߔ㧚(a)ߩ ቯᐲߪ 0.88 ߢࠅ㧘(b)ߢߪ 0.34 ߣߥࠆ㧚.
(3) ߎߎߢߦ㧘(b)ߩ႐วߢ|AB|=|AC|=|BC|ߣߒߡ࿑ 3 ߩࠃ߁ߦ R(n)ࠍಽഀߔࠆߎߣࠍ⠨߃ࠆߣ㧘R(At)㧘 R(Bt)㧘R(Ct)ߩ㕙Ⓧߪߘࠇߙࠇ╬ߒߊ㧘߹ߚ R(Al)㧘 R(Ar)㧘R(Bl)㧘R(Br)㧘R(Cl)㧘R(Cr)ߩ㕙Ⓧ߽ߘࠇߙ ࠇ╬ߒ㧚ߎߎ߆ࠄ㓏ጀቯᐲߩ୯ၞߪᰴߩࠃ߁ߦ ߥࠆ㧚 1 d 㓏ጀቯᐲ d 1 3 వߦㅀߴߚ࿑ 2(b)ߩ႐วߩቯᐲ 0.34 ߪ㧘ᦨ߽ਇ ቯߥߣ߈ߩℂ⺰୯ 1/3 ߦㄭ୯ߣߥߞߡࠆ㧚 ߐࠄߦߒߊቯᐲߦߟߡࠆߚߦ㧘వߦ⚿ วߔࠆ 2 ⷐ⚛ A㧘B ࠍ࿕ቯߒ㧘3 ⋡ߩⷐ⚛ࠍ A㧘B ߘࠇߙࠇࠍਛᔃߣߔࠆඨᓘ|AB|ߩᄖㇱߢേ߆ߒ㧘 ቯᐲߩಽᏓࠍ⺞ߴࠆ㧚ߎߩ⚿ᨐࠍ࿑ 4 ߦ␜ߔ㧚ߎߎ ߢ㧘⊕㗔ၞߪᩏ▸࿐ᄖߢࠆߎߣࠍ␜ߒߡࠆ㧚3 ⷐ⚛㑆ߩ〒㔌߇߶߷╬ߒߊߥࠆ 2 ߩὐㄭㄝߢ㧘 ቯᐲߪ․ߦૐߊߥࠅ㧘〒㔌Ꮕ߇ᄢ߈ߊߥࠆߦߟࠇ ߡቯᐲ߇㜞ߊߥߞߡࠆߎߣ߇⺒ߺขࠇࠆ㧚. (a)|AB|:|AC|=1 : 2 (0.88) (b)|AB|ѳ|AC|ѳ|BC| (0.34). ࿑ 2 ᭴ㅧᄌൻ㗔ၞ (ᒐౝߪቯᐲ). R(At) R(At). A R(Al) R(Br). R(Bt) R(Bt). R(Ar) R(Cl). R(Bl). B. R(Cr). R(Ct)) R(Ct. C. ࿑ 3 ኻ⽎㗔ၞ. 4. ታ㛎⠨ኤ ᧄ▵ߢߪࡦ࠳ࡓߦᚑߒߚ࠺࠲⟲ࠍߣߒߡ㧘 ᗐⷐ⚛ㅊടᴺߦࠃࠆቯᐲߦࠃߞߡലߦߐ ࠇࠆᖱႎ㧘߅ࠃ߮ߐࠇߥᖱႎߣߘߩ⸃╷ߦ ߟߡㅀߴࠆ㧚߹ߚ㧘ᓥ᧪ᚻᴺߣߩᲧセߦߟߡ߽ ⠨ኤߔࠆ㧚. A. B 0.33... 1.0. ࿑ 4 ቯᐲಽᏓ. 4.1 ឭ᩺ᚻᴺߩലᕈ ឭ᩺ᴺߢߪ㧘ᗐⷐ⚛ߩㅊടߦࠃࠆ㓏ጀ᭴ㅧߩᄌ ൻࠍਇቯߣߒߡࠆ߇㧘ߎࠇߪߔߢߦᒻᚑߐࠇߚ ࠢࠬ࠲ߦኻߒߡߘߩౝㇱߩⷐ⚛߿ઁࠢࠬ࠲ߩⷐ ⚛߇ᓸዊߥᄌേࠍߒߚ႐วࠍᗐⷐ⚛ߦ┙ߡࠆߎ ߣࠍᗧߒߡࠆ㧚 ߎߩ᭽ሶࠍ⏕߆ࠆߚ㧘⋥ⷰ⊛ߦℂ⸃ߒ߿ߔ 2 ᰴర࠺࠲ࠍߣߒߡ㧘ታ㓙ߩ࠺࠲ߣ᮸ᒻ࿑߆ ࠄឭ᩺ᴺߩലᕈࠍ⏕߆ࠆ㧚 ⷐ⚛ᢙࠍ 20 ߣߒࡦ ࠳ࡓߦᚑߒߚߦߟߡ㧘࿑ 5 ߦᐳᮡ㧘࿑ 6 ߦ㓏 ጀ⊛ࠢࠬ࠲ࡦࠣᓟߦቯᐲࠍ᳞㧘ߘࠇࠍノᐲ ୯ߢ␜ߒߚ᮸ᒻ࿑ࠍ␜ߔ㧚ߎߎߢ㧘ቯᐲߩノᐲ୯ ߳ߩࡑ࠶ࡇࡦࠣߦߪ࿑ 4 ߣหߓ߽ߩࠍ↪ࠆ㧚߹ߚ ⸘▚ኻ⽎ߣߥࠆ 3 ࠢࠬ࠲ߪ㧘⚿ว㗅ᐨߦߒߚ߇ వߦ⚿วߒߡࠆࠢࠬ࠲ߩઍ୯ߣ㧘ᓟߦ⚿วߔ ࠆࠢࠬ࠲ߩ 2 ߟߩሶߩઍ୯ߣߔࠆ㧚ቯᐲߪ㧘 ߘߩ୯ࠍᜬߟࡁ࠼߆ࠄ㧘ߘߩሶߢࠆᓟߦ⚿วߔ ࠆࠢࠬ࠲߹ߢߩ▸࿐ߩ⍱ᒻࠍቯᐲߦኻᔕߔࠆノ ᐲ୯ߢႣࠅߟ߱ߒߡߔࠆ㧚 ߎࠇࠄߩⷐ⚛ߩ߁ߜ㧘 ࿑5 ฝߦࠆ{(4, 16), (6, (5, 15))}߆ࠄߥࠆࠢࠬ࠲ߦ⌕⋡ߔࠆ(࿑ 7)㧚(4, 16)ߣ(6, (5, 15))㑆ߦߪචಽߥ〒㔌߇ࠆࠃ߁ߦ߃ࠆ㧚ߎߎ −33−. ࿑ 5 2 ᰴర࠺࠲㓸ว㧔ⷐ⚛ᢙ㧦20㧕. ࿑ 6 㓏ጀቯᐲࠍนⷞൻߒߚ᮸ᒻ࿑㧔ⷐ⚛ᢙ㧦20㧕.
(4) 4. 16. 16. 5 15. 4. 4. 16. 5. 5 15. 15. 6 6 (a) ᄌൻ೨ (b) ߳ᄌൻᓟ (c) ਅ߳ᄌൻᓟ ࿑ 7 ⷐ⚛ 15 ߇ᓸዊߦᄌൻߔࠆ႐ว 6. ߢⷐ⚛ 15 ߇ᣇะߦᓸዊ⒖േߔࠆߣ㧘ࠢࠬ࠲(5㧘 15)ߩઍ୯ߣⷐ⚛ 6 ߣߩ〒㔌ࠃࠅ߽(4, 16)ߣߩ〒㔌 ߇⍴ߊߥࠅవߦ⚿วߒ㧘ࠢࠬ࠲{(4, 16), (5, 15)}ߣ ߥߞߡߒ߹߁㧚߹ߚਅᣇะ߳ᓸዊ⒖േߔࠆߣⷐ⚛ 6 ߣⷐ⚛ 15 ߩ〒㔌߇ⷐ⚛ 5 ߣࠢࠬ࠲(4, 16)ߣߩ〒㔌 ࠃࠅ߽ዊߐߊߥࠅࠢࠬ࠲᭴ㅧ߇ᄌൻߔࠆ㧚 ᧄᚻᴺߪ㧘ߔߢߦࠢࠬ࠲ࡦࠣߐࠇߚ⚿ᨐߢࠆ ᮸ᒻ࿑ߦኻߒߡ㓏ጀቯᐲࠍ⸘▚ߔࠆ㧚ߟ߹ࠅቯ ᐲ⸘▚ኻ⽎ࠍฦࡁ࠼ߦኻߒߡߘߩਅ 3 ࡁ࠼ߦ ቯߡࠆߚ㧘⸘▚ኻ⽎߆ࠄṳࠇࠆⷐ⚛ࠢࠬ ࠲㑆ߩㅒォน⢻ᕈߪ␜ߔߎߣ߇ߢ߈ߥ㧚ߎߩߎߣ ߳ߩኻᔕߣߒߡ㧘ߔߢߦ⚿วߒߡࠆࡁ࠼ߛߌߢ ߥߊ㧘⚿วߔࠆน⢻ᕈߩࠆㄭறࡁ࠼ߔߴߡߦኻ ߒߡቯᐲࠍ⸘▚ߔࠆߎߣ߇⠨߃ࠄࠇࠆ㧚ߒ߆ߒ㧘 ⸘▚㊂߿นⷞൻᚻᴺߥߤߩ㗴ߪᱷࠆ㧚. ࠢࠬ࠲ࡦࠣߩቯᕈࠍᐞቇ⊛ߦ⸃ᨆߔࠆᣂߒ ᢙℂࡕ࠺࡞ࠍឭ᩺ߒߚ㧚ᧄᚻᴺߢߪ㧘ࡦ࠳ࡓࠨ ࡦࡊࡦࠣߦࠃࠆ⛔⸘⊛ᚻᴺࠍ↪ࠆߎߣߥߊ㧘ฦ 㓏ጀߢߩቯᐲࠍ▚ߢ߈ࠆ㧚߹ߚ㧘㓏ጀቯᐲࠍ ᮸ᒻ࿑ߦนⷞൻߔࠆߎߣߢ㧘ᓥ᧪ߩ᮸ᒻ࿑ߢߪᄬ ࠊࠇߡߚᖱႎࠍឭ␜ߢ߈ߚ㧚 ᓟߩ⺖㗴ߣߒߡ㧘ታߩࠕࡊࠤ࡚ࠪࡦߦㆡ ↪ߒ㧘 ലᕈࠍᬌ⸽ߔࠆߎߣ߇ߍࠄࠇࠆ㧚 ࿁ߪ㧘 2 ᰴర࡙ࠢ࠶࠼ⓨ㑆ߢ㊀ᔃᴺࠍ↪ߚ႐วߦ㒢 ቯߒߡ㧘㓏ጀቯᕈࠍ▚ߒߚ㧚ߒ߆ߒ㧘⒳ࠕߩޘ ࡊࠤ࡚ࠪࡦ࠺࠲ߦㆡ↪ߔࠆߦߪ㧘ᄙᰴరⓨ㑆 ߢ㧘⒳〒ߩޘ㔌ዤᐲ㧘⒳࠲ࠬࠢߩޘ㑆〒㔌ࠍ↪ ߚ႐วߦኻߒߡ߽㧘ኻᔕ߇ᔅⷐߢࠆ㧚 ߐࠄߦ㧘㓏ጀቯᐲߩ㜞ㅦ⸘▚㧘㓏ጀࠍ߃ߚ ቯᕈߩ⸃ᨆࠍⴕ߁ߚߩ⸘▚ᴺߣนⷞൻᴺ㧘ࠢࠬ ࠲ಽഀᢙߩቯᴺ㧘ࠃࠅ⋥ⷰ⊛ߥนⷞൻᚻᴺߩ㐿ᜏ ߥߤߦ߽㧘㗅ᰴขࠅ⚵ߺߚ㧚. ⻢ㄉ ᧄ⎇ⓥߩ৻ㇱߪ㧘⑼ቇ⎇ⓥ⾌ഥ㊄㧔⪚⧘ 17650024㧕ߩេഥࠍฃߌߡࠆ㧚. ෳ⠨ᢥ₂ [1]㩷 A. K. Jain, M. N. Murty, and P. J. Flynn, “Data clustering: a. 4.2 ᣢሽᚻᴺߣߩᲧセ. review,” ACM Computing Surveys, Vol. 31, No. 3, pp.. ᧄᚻᴺߪ࠺࠲㓸วߩㇱಽ㓸วࠍ↪ࠆᚻᴺߥߤ ߣᲧߴߡ⛔⸘⊛ߦᛒ߁ᔅⷐ߇ߥߚ㧘⸘▚㊂ߪ⪺. 264-323, 1999. [2] 㩷 V. V. Ranghavan and M. Y. L. IP, “Techniques for measuring the stability of clustering : a comparative. ߒߊᷫዋߔࠆ㧚㓏ጀቯᐲߪ㧘ᤨὐߢߪ↹⚛ߩᢙ ߃ߍߢ▚ߒߡࠆ߇㧘ኻ⽎ 3 ࠢࠬ࠲ߩࠢࠬ ࠲㑆〒㔌ߛߌ߆ࠄ⸘▚ߢ߈ࠆߚ㧘ᒁ߈ߣ㑆ߦ ࠃࠅߐࠄߦ㜞ㅦߥㄭૃ⸘▚߇น⢻ߣ⠨߃ࠄࠇࠆ㧚 ᧄᚻᴺߩఝὐߣߒߡ㧘࠺࠲ᢙ߇ዋߥ႐วߦ ߽ㆡ↪ߢ߈ࠆߎߣ߇ߍࠄࠇࠆ㧚ㇱಽ㓸วࠍ↪ࠆ ᚻᴺߢߪ㧘࠺࠲ᢙ߇৻ቯએߥ႐วߦߪචಽߥ ା㗬ᕈࠍᓧࠄࠇߥߩߦኻߒ㧘ᧄᚻᴺߪࠊߕ߆ 3 ߩⷐ⚛߆ࠄߥࠆࠢࠬ࠲ߦኻߒߡ߽㧘ቯᐲࠍ⸘▚ ߢ߈ࠆ㧚 ߹ߚᧄᚻᴺࠍࠢࠬ࠲ಽഀᢙቯߩᜰᮡߣߒߡ ↪ߔࠆߎߣ߽⠨߃ࠄࠇࠆ㧚ᓥ᧪㧘ಽഀᢙࠍቯߔࠆ ߚߦߪ⚿ว〒㔌ࠍ↪ߡࠆ߇㧘ߎࠇߦฦ㓏ጀߦ ߅ߌࠆቯᐲࠍടߒߡ⠨ᘦߔࠆߎߣߢ㧘ࠃࠅㆡߒ ߚࠢࠬ࠲ಽഀ߇ᓧࠄࠇࠆߣ⠨߃ࠄࠇࠆ㧚. study, ” ACM SIGIR 1982, pp. 209-237, 1982. [3]㩷 W. M. Rand, “Objective criteria for the evaluation of clustering, ” Journal of American Statistical Association, Vol. 66, No. 336, pp. 846-850, 1971. [4]㩷 D. G. Corneil and M. E. Woodward, “A comparison and evaluation of graph theoretical clustering techniques,” INFOR, Canadian Journal of Operational Research and Information Processing, Vol. 16, No. 1, pp. 74-89, 1978. [5]㩷 C. T. Yu, “The Stability of two common matching functions in classification with respect to a proposed measure,” Journal of the American society for Information Science, Vol. 27, No. 4, pp. 248-255, 1976. [6] 㩷 E. B. Fowlkes, and C. L. Mallows, “A method for comparing two hierarchical clusterings,” Journal of the American Statistical Association, Vol. 78, No. 78, pp. 553-584, 1983.. 5. ⚿⸒. [7]㩷 A. Ben-Hur, A. Elisseeff, and I. Guyon, “A stability based method for discovering structure in clustered data,” Pacific. ᧄႎ๔ߢߪ㧘ᗐⷐ⚛ࠍㅊടߔࠆߎߣߢ㧘㓏ጀ⊛. Symposium on Biocomputing, Vol. 7, pp. 6-17, 2002.. −34−.
(5)
関連したドキュメント
1975: An inviscid model of two-dimensional vortex shedding for transient and asymptotically steady separated flow over an inclined plate, J.. Fluid
*2 Kanazawa University, Institute of Science and Engineering, Faculty of Geosciences and civil Engineering, Associate Professor. *3 Kanazawa University, Graduate School of
一階算術(自然数論)に議論を限定する。ひとたび一階算術に身を置くと、そこに算術的 階層の存在とその厳密性
Its semantics, a variation of the DGoIM, accordingly has extra nodes that represent parameters, and an extra rewriting rule of graph abstraction. These extra features altogether
For staggered entry, the Cox frailty model, and in Markov renewal process/semi-Markov models (see e.g. Andersen et al., 1993, Chapters IX and X, for references on this work),
We present a novel approach to study the local and global stability of fam- ilies of one-dimensional discrete dynamical systems, which is especially suitable for difference
The purpose of the Graduate School of Humanities program in Japanese Humanities is to help students acquire expertise in the field of humanities, including sufficient
Amount of Remuneration, etc. The Company does not pay to Directors who concurrently serve as Executive Officer the remuneration paid to Directors. Therefore, “Number of Persons”