2 Commits

3 changed files with 119 additions and 111 deletions

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@@ -30,14 +30,18 @@ Average silhouette width is a widely-used measure of clustering quality. Higher
2. How well-separated each cluster is from its nearest neighboring cluster.
Although the coefficient is mathematically bounded by [−1, 1], cosine distance between high-dimensional text embeddings is compressed: unrelated notes sit close to orthogonal, so both the within-cluster and nearest-cluster distances land near 0.8. Because silhouette divides the gap between them by the larger of the two, the practical range on embedding data is roughly [−0.05, 0.10] rather than the full interval.
The bands below are therefore calibrated against that observed range. On the seed board, the five ideal thematic clusters score 0.09; swapping a few notes between clusters drops it to 0.06; a scrambled assignment falls below zero.
The score appears above the results with a plain-language band:
- **0.70 and above** — Strong
- **0.40 to 0.69** — Moderate
- **0.10 to 0.39** — Weak
- **Below 0.10** — Poor
- **0.07 and above** — Strong
- **0.04 to 0.06** — Moderate
- **0.01 to 0.03** — Weak
- **Below 0.01** — Poor
Silhouette values are archetypically bounded below 1.0 for real-world data, so the number is best read as a relative measure. See Hugo Sträng, Tai Dinh. An upper bound on the silhouette evaluation metric for clustering. Pattern Recognition, Volume 178, 2026, 113402, ISSN 0031-3203.
A score near 0.00 means the grouping is no better than chance. Bands are specific to `voyage-3` cosine distance and would need recalibration behind a different embedding model. See Hugo Sträng, Tai Dinh. An upper bound on the silhouette evaluation metric for clustering. Pattern Recognition, Volume 178, 2026, 113402, ISSN 0031-3203.
## Organizing clusters, exporting to workflow software

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@@ -6,132 +6,136 @@ import Sticky from './sticky';
import Button from './button';
import '../styles/stickies.css';
// In practice, silhouette on cosine distance between text embeddings occupies roughly
// [-0.05, 0.10], not strict theoretical [-1, 1]: near-orthogonal vectors put both the within- and
// nearest-cluster distances close to 0.8, and the coefficient divides their gap
// by the larger. These bands are calibrated to that range for voyage-3. see README, Reading the cohesion score
const scoreLabel = (score: number): string => {
if (score >= 0.7) return 'Strong';
if (score >= 0.4) return 'Moderate';
if (score >= 0.1) return 'Weak';
return 'Poor';
if (score >= 0.07) return 'Strong';
if (score >= 0.04) return 'Moderate';
if (score >= 0.01) return 'Weak';
return 'Poor';
};
const Stickies = () => {
const { data: stickies, isLoading, error } = useGetStickies();
const { mutate: cluster, data: clusterResponse, isPending } = useClusterStickies();
const { data: stickies, isLoading, error } = useGetStickies();
const { mutate: cluster, data: clusterResponse, isPending } = useClusterStickies();
const [rankedClusters, setRankedClusters] = useState<RankedCluster[]>([]);
const dragIndex = useRef<number | null>(null);
const [dragOverIndex, setDragOverIndex] = useState<number | null>(null);
const [rankedClusters, setRankedClusters] = useState<RankedCluster[]>([]);
const dragIndex = useRef<number | null>(null);
const [dragOverIndex, setDragOverIndex] = useState<number | null>(null);
useEffect(() => {
if (clusterResponse?.clusters) {
setRankedClusters(
clusterResponse.clusters.map((c, i) => ({ ...c, rank: i + 1 }))
);
}
}, [clusterResponse]);
useEffect(() => {
if (clusterResponse?.clusters) {
setRankedClusters(
clusterResponse.clusters.map((c, i) => ({ ...c, rank: i + 1 }))
);
}
}, [clusterResponse]);
if (isLoading) return <div>Loading...</div>;
if (error) return <div>Error: {error.message}</div>;
if (isLoading) return <div>Loading...</div>;
if (error) return <div>Error: {error.message}</div>;
const score = clusterResponse?.score;
const score = clusterResponse?.score;
const handleCluster = () => {
cluster();
};
const handleCluster = () => {
cluster();
};
const buildStickyMap = (): Map<string, StickyType> => {
const map = new Map<string, StickyType>();
stickies?.forEach((s) => map.set(s.id, s));
return map;
};
const buildStickyMap = (): Map<string, StickyType> => {
const map = new Map<string, StickyType>();
stickies?.forEach((s) => map.set(s.id, s));
return map;
};
const stickyMap = buildStickyMap();
const stickyMap = buildStickyMap();
const renderStickies = (items: StickyType[]) =>
items?.map((sticky) => <Sticky key={sticky.id} sticky={sticky} />);
const renderStickies = (items: StickyType[]) =>
items?.map((sticky) => <Sticky key={sticky.id} sticky={sticky} />);
const handleDragStart = (index: number) => {
dragIndex.current = index;
};
const handleDragStart = (index: number) => {
dragIndex.current = index;
};
const handleDragOver = (e: DragEvent, index: number) => {
e.preventDefault();
setDragOverIndex(index);
};
const handleDragOver = (e: DragEvent, index: number) => {
e.preventDefault();
setDragOverIndex(index);
};
const handleDragLeave = () => {
setDragOverIndex(null);
};
const handleDragLeave = () => {
setDragOverIndex(null);
};
const handleDrop = (targetIndex: number) => {
const sourceIndex = dragIndex.current;
if (sourceIndex === null || sourceIndex === targetIndex) {
dragIndex.current = null;
setDragOverIndex(null);
return;
}
const handleDrop = (targetIndex: number) => {
const sourceIndex = dragIndex.current;
if (sourceIndex === null || sourceIndex === targetIndex) {
dragIndex.current = null;
setDragOverIndex(null);
return;
}
const reordered = [...rankedClusters];
const [moved] = reordered.splice(sourceIndex, 1);
reordered.splice(targetIndex, 0, moved);
const reordered = [...rankedClusters];
const [moved] = reordered.splice(sourceIndex, 1);
reordered.splice(targetIndex, 0, moved);
setRankedClusters(reordered.map((c, i) => ({ ...c, rank: i + 1 })));
dragIndex.current = null;
setDragOverIndex(null);
};
setRankedClusters(reordered.map((c, i) => ({ ...c, rank: i + 1 })));
dragIndex.current = null;
setDragOverIndex(null);
};
const handleDragEnd = () => {
dragIndex.current = null;
setDragOverIndex(null);
};
const handleDragEnd = () => {
dragIndex.current = null;
setDragOverIndex(null);
};
return (
<div className="stickies-container">
<Button onClick={handleCluster} isLoading={isPending} label="Group Stickies By Topic" />
{rankedClusters.length > 0 ? (
<div className="clusters-container">
{score != null && (
<div className="cohesion-score">
Cluster cohesion: <strong>{score.toFixed(2)}</strong> — {scoreLabel(score)}
</div>
)}
{rankedClusters.map((group, index) => (
<div
key={group.label}
className={`cluster-group cluster-draggable${dragOverIndex === index ? ' cluster-drag-over' : ''}`}
draggable
onDragStart={() => handleDragStart(index)}
onDragOver={(e) => handleDragOver(e, index)}
onDragLeave={handleDragLeave}
onDrop={() => handleDrop(index)}
onDragEnd={handleDragEnd}
>
<div className="cluster-header">
<span className="cluster-rank" aria-label={`Priority ${group.rank}`}>
{group.rank}
</span>
{group.rank === 1 && (
<span className="cluster-reorder-hint">Drag and drop to reorganize cluster priority</span>
)}
<h3 className="cluster-label">{group.label}</h3>
<span className="cluster-drag-handle" aria-hidden="true">⠿</span>
</div>
<div className="stickies-grid">
{renderStickies(
group?.noteIds
.map((id) => stickyMap?.get(id))
.filter((s): s is StickyType => !!s)
)}
</div>
</div>
))}
return (
<div className="stickies-container">
<Button onClick={handleCluster} isLoading={isPending} label="Group Stickies By Topic" />
{rankedClusters.length > 0 ? (
<div className="clusters-container">
{score != null && (
<div className="cohesion-score">
Cluster cohesion: <strong>{score.toFixed(2)}</strong> — {scoreLabel(score)}
</div>
)}
{rankedClusters.map((group, index) => (
<div
key={group.label}
className={`cluster-group cluster-draggable${dragOverIndex === index ? ' cluster-drag-over' : ''}`}
draggable
onDragStart={() => handleDragStart(index)}
onDragOver={(e) => handleDragOver(e, index)}
onDragLeave={handleDragLeave}
onDrop={() => handleDrop(index)}
onDragEnd={handleDragEnd}
>
<div className="cluster-header">
<span className="cluster-rank" aria-label={`Priority ${group.rank}`}>
{group.rank}
</span>
{group.rank === 1 && (
<span className="cluster-reorder-hint">Drag and drop to reorganize cluster priority</span>
)}
<h3 className="cluster-label">{group.label}</h3>
<span className="cluster-drag-handle" aria-hidden="true">⠿</span>
</div>
<div className="stickies-grid">
{renderStickies(
group?.noteIds
.map((id) => stickyMap?.get(id))
.filter((s): s is StickyType => !!s)
)}
</div>
</div>
))}
</div>
) : (
<div className="stickies-grid">
{renderStickies(stickies ?? [])}
</div>
)}
</div>
) : (
<div className="stickies-grid">
{renderStickies(stickies ?? [])}
</div>
)}
</div>
);
);
};
export default Stickies;

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@@ -14,7 +14,7 @@ const MOCK_CLUSTER_RESPONSE = {
{ label: 'Auth Issues', noteIds: ['note_001'] },
{ label: 'Export Issues', noteIds: ['note_002'] },
],
score: 0.74,
score: 0.09,
};
let fetchMock: ReturnType<typeof vi.fn>;